Sensitivity Analysis of Photovoltaic Hosting Capacity of Distribution Circuits

Size: px
Start display at page:

Download "Sensitivity Analysis of Photovoltaic Hosting Capacity of Distribution Circuits"

Transcription

1 This accepted version article has been published in Proceedings of the 216 IEEE Power & Energy Society General Meeting, July 17-21, 216, Boston, MA. Sensitivity Analysis of Photovoltaic Hosting Capacity of Distribution Circuits Suma Jothibasu and Surya Santoso Department of Electrical and Computer Engineering The University of Texas at Austin, Austin, TX. Abstract The decrease in PV panel cost has globally increased the residential PV installations in the distribution grid. Studies have shown that high PV penetration can cause overvoltage, voltage deviation and reverse power flow concern in the distribution grid. To avoid the grid concerns, the utilities typically limit the PV penetration in the distribution feeder. However, the PV hosting capacity limits of the distribution feeder depend on various key factors such as voltage class of the feeder, PV location, short circuit capacity, and presence of voltage regulation devices. This paper focuses on calculating the sensitivity of PV hosting capacity to various factors affecting it. The analysis is validated with the help of simplified feeder model and also with stochastic framework of analysis. Index Terms Distributed photovoltaic cells, Voltage, Load tap changing transformer, Smart Inverter I. INTRODUCTION The decrease in PV panel cost has globally increased the PV installation in the distribution grid. The International Energy Agency (IEA) estimates that by 25, solar photovoltaic (PV) power generation will contribute to 16% of the worlds electricity, with 2% of the total PV capacity from residential installations [1]. Residential PV allows local power generation, consumption, and exporting of surplus energy to the distribution grid. However, unlike centralized power generation at the transmission level, the large-scale power generation at the distribution level can cause more impact on the grid. This is because high PV penetration in the distributed grid causes bi-directional power flow and majority of distribution circuits are designed to serve loads downstream from the distribution substation (unidirectional). The SunShot studies [2], an initiative sponsored by the U.S Department of Energy, assert that integrating a high percentage of PV in the distribution grid can raise voltage regulation related issues such as overvoltage and voltage deviation. The studies hint that there is a limit on the maximum amount of PV that can be integrated in a given distribution circuit without causing any impacts on the grid and it is called the PV hosting capacity of the grid. The PV hosting capacity of distribution grids is a debated subject since 195. An extensive literature search presented in [3], provides various acceptable PV penetration limits ranging from 5% to 5% of the peak load of the feeder that have been suggested in literature. The PV hosting capacity limit of a This work is supported by the Energy Institute at the University of Texas at Austin. distribution grid (PV hosting capacity) vary widely, depending on a number of parameters of the feeder. Even the feeders of same voltage class can have hosting capacities as varying as 3.3% and 62.5% []. The hosting capacity further depends on the location and size of PV installed in the grid [5], [6]. Therefore, it is speculated that fixing a limit universally on the hosting capacity limit of feeders can be an over or underestimation of the capacity of a feeder []. Recent researches have been focused on increasing the hosting capacity of distribution feeder by some operational changes or upgrades in the grid. The 21 amendment in the IEEE standard to allow the PV inverters to actively participate in the voltage regulation at the point of common coupling (PCC) [7], have opened a new area of research. Reactive power support from the PV inverters has been demonstrated to mitigate voltage related concern, which is the most important problem that arises due to high PV penetration in the distribution grid and thereby increasing the overall hosting capacity of the distribution grid []. Further, the curtailment of active power output of PV inverters by a fixed 5% of nameplate capacity and other adaptive methods to cap the real power output have been reported to increase the PV hosting capacity of distribution grid [9], [1]. Yet, the interconnection standards in the US typically limit the maximum PV penetration in the distribution grid to 15% of the peak load of the feeder [11]. In case the penetration exceeds 15% of peak load, the standard recommends supplemental reviews such as 1) ensuring that the maximum penetration is less the minimum load, 2) power quality and voltage test, 3) safety and reliability test and ) transmission system independence test. Except the first criteria, the others might require actual field trails to approve the interconnection request. Therefore there is a need for a simple method that can process the interconnection requests faster. This serves as the motivation for this paper to identify the factors that affect the PV hosting capacity of distribution feeders. Further, the knowledge on these factors can help cluster the feeder of same properties [12]. The clustering of feeders based on some key properties can allow us to predict and estimate the hosting capacity of each cluster of distribution feeders. The main contribution of the paper is on showing the sensitivity of hosting capacity to main factors such as short circuit capacity, MVA rating of the service transformer, minimum load of the circuit, the voltage level where PVs are integrated, presence of voltage regulation devices, and smart inverter. The

2 analysis is validated on actual distribution circuit [13]. II. PV HOSTING CAPACITY The maximum PV capacity that can be integrated in a distribution grid without experiencing any grid concern is called the PV hosting capacity limit. In this section, the hosting capacity is derived with respect to overvoltage concern. Overvoltage at the point of common coupling (PCC) when a PV is integrated is explained with a simple feeder model (see Fig. 1). The voltage at the PCC can be derived as in (1). = V 1 + (P P V P L ) j(q P V Q L ) ( + jx S ) δ = V 1 + (P P V P L )( cos δ X S sin δ) + (Q P V Q L )(X S cos δ + sin δ) (1) where, the voltage at the PCC is δ and the voltage at the source is V 1. The Thevenin equivalent impedance at PCC is given by + jx S. The power injected by the PV is P P V + jq P V and the power absorbed by load and losses in the grid is represented as P L + jq L. Assuming that cos δ 1 and sin δ, (1) can be reduced to (2), V 1 + (P P V P L ) V 1 R s X s + (Q P V Q L )X S. (2) PCC P L +jq L Load P PV +jq PV Fig. 1. Simplified feeder model with PV. From (2), the maximum voltage at the PCC (max ) can be observed when the load is minimum (P Lmin ) and the PV is generating at its peak (P P V max ). Further simplifying (2), by assuming that the power factor at the PCC is.9, the maximum power injected by PV at the PCC (P P V max ) is given by (3), P P V max = max(max V 1 ) (1 + tan(cos 1 (.9)) X S ) + P Lmin. (3) The above equation derived from simplified feeder model gives valuable insights towards sensitivity of hosting capacity. The factors that affect the hosting capacity is elaborated in the following subsections. 1) Short circuit capacity at the PCC: The maximum PV penetration limit P P V max is inversely proportional to equivalent Thevenin impedance at the PCC in (3) i.e., P P V max is proportional to the short circuit capacity at the PCC. Therefore, it can be inferred that the bus with large short circuit strength can have more PV hosting capacity than at a weaker bus. The same discussion explains the locational impact of the PV penetration on the overall hosting capacity [5], [6]. Since P P V max is inversely proportional to Thevenin impedance, increase in distance from substaion increases the net Thevenin impedance and the corresponding P P V max that can be injected at the PCC decreases. 2) PV integration at Primary/Secondary wires: The numerator of (3) emphasizes the effect on the voltage on the maximum penetration limit. P P V max is proportional to square of the voltage at the PCC. Therefore, increasing voltage level at the PCC can significantly increase the PV hosting capacity of the distribution grid. Hence, we can integrate more PV capacity at the primary of the feeder than at the secondary side of the service transformer, which is usually at the lower voltage level than the primary side. Also it is obvious from the same discussion that the PV hosting capacity of feeder at higher voltage class is more than the feeder at lower voltage level. So, upgrading the feeder voltage level can prove to increase the hosting capacity of the feeder. 3) Minimum load of the distribution feeder: The P P V max is increased linearly by the minimum load of the circuit as in (3). In a typical distribution circuit, effect of load growth on the maximum load may be about 1 2% but the minimum load of the circuit can grow more than 5%. By the assumption that the minimum load growth is more than 5%, we can except that the hosting capacity of the feeder may increase over time. ) Voltage regulation equipments: Most substation transformers are installed with tap changing voltage regulators. They provide up to ±1% voltage regulation capability with ±16 tap positions. The hosting capacity calculations in the literature, usually block the regulator control [6], [1]. The rationale for the assumption is that the regulating devices like load tap changing (LTC) transformers or capacitors are not fast enough, and, therefore, transient overvoltage conditions may be observed. Also since it is expected that the number of tap operations increase with renewable power integration, the controls are disabled. However since the study focuses on the steady-state voltage, the regulation capability of the existing devices is included in the analysis. Also, the devices are allowed to vary by about 3 tap positions, at a time. This changes V 1 from 1. p.u. to V 1 about.9 for a 13.2 kv feeder. The decrease in V 1 to.9 p.u., would increase the hosting capacity further 5% more as shown in the equation below, P P V max P P V max max V 1 max V 1 = = 1.5 5) Reactive power support from Smart inverters: The power factor in (3) is assumed to be fixed at.9. If the power factor of the inverter is fixed at.95 to absorb the reactive power then the new P P Vmax can be derived as, P max (max V 1 ) P V max = ) + P Lmin (1 + tan(cos 1 (.95)) X S Assuming that the X S at the PCC of distribution grid is less, the new P P V max is calculated to be more than 2 times the

3 maximum PV that can be integrated in the base case, P P V max = 1 + tan(cos 1 (.9)) XS P P V max 1 + tan(cos 1 (.95)) X 2.35 () S Therefore, reactive power support from smart inverters can increase the hosting capacity of the feeder. III. SIMULATION STUDIES Distribution circuit for the study is a 3.5 kv feeder with 75 buses, published by EPRI [13]. From the yearly load demand measured at the substation the absolute peak load and minimum load are recorded to be 6 MW and 2 MW, respectively. The circuit has an LTC transformer at the substation and 3 fixed capacitors of about 33 kvar in the circuit. It supplies about 35 customers of which 7% are residential. The maximum length of the feeder from the substation is about miles with about 7 miles of total aggregate circuit length. The three phase short circuit capacity at the secondary of the substation transformer is about 22 MVA. The schematics of the circuit with positive sequence short circuit resistance of the circuit in Fig. 2 shows the increase in resistance with increase in distance from the substation. Positive-Sequence Short-Circuit Resistance Bus1 Bus3 5.3 miles 6.56 miles Bus5.72 miles Bus miles Substation Fixed Capacitor N27563 N352 n29257 N136726_lo N Bus 3.7 miles Fig. 2. Positive sequence short circuit resistance of the feeder The maximum PV array size (P P V max ) that can be integrated at a given location in the distribution feeder is calculated using (3) for (max ) of 1.5 p.u. It is to be noted that the (3) is derived, assuming that there is no other PV source in the distribution grid and all the circuit upstream from the PCC are represented as the equivalent Thevenin impedance ( + jx S ). To validate the (3), five different bus locations in the distribution feeder are chosen and the corresponding buses are marked in the Fig. 2. The bus1 is at 13.2 kv voltage level and the calculated P P V max is 1. MW, whereas the other buses are at lower voltage levels have P P V max about 1 kw. The bus2 is a three phase bus and the three phase P P V max is calculated to be 33 kw. Similarly the maximum power to be injected is calculated in buses 3, & 5. Then, load flow analysis with the calculated PV size is performed using Distribution System Simulator (OpenDSS) and the corresponding voltages are tabulated in Table I. It can be observed that when the calculated P P V max are integrated independently in the grid, increase in voltage experienced at the PCC is approximately equal to 1.5 p.u and thus validating the derivation of (3). TABLE I MAXIMUM PENETRATION LIMIT Bus Rated + jx S P P V max (pu) kv LL (Ω) (kw) (3) Without PV With PV bus j bus j bus j bus j bus j The sensitivity of hosting capacity for the factors described in the previous section is validated for the circuit shown in Fig. 2 in the following subsections: 1) Short circuit capacity at the PCC: Short circuit capacity at the PCC is an important factor that affects the maximum PV that can be integrated at the PCC. For instance, buses 3, & 5 in Fig. 2 are at the same voltage level and the calculated P P V max is about 1 kw. Particularly, it can be observed that the bus is relatively closer to the substation (3.7 miles) than the other buses, and according to the locational impacts explained [5], the bus should have more hosting capacity compared to the other buses, but it is actually calculated to be lesser than the other buses. The reason can be best explained in terms of the short circuit impedance. Eventhough and X S parameters increase with distance, the net impedance is affected largely by the impedance of the service transformer connected at the bus. Since MVA rating of the service transformer serving bus is lesser than the other buses and the transformer leakage impedance (X t ) is inversely proportional to the MVA rating of transformer as in (5), the net Thevenin impedance at bus is comparable with the other buses. X t = X t % (kv LL) 2 (5) MV A t where, X t is the transformer leakage impedance in ohms of the transformer rated at MV A t with X t % of leakage impedance and kv LL is the line to line voltage rating of the transformer. Therefore, maximum penetration limit at the secondary of the transformers are largely dependent on the MVA rating of the service transformer than on the location of the bus. To generalize the finding, P P V max is calculated at all service transformers. There are 1 service transformers in the given distribution circuit stepping down the voltage to 15 V or V at the secondary. The P P V max is calculated at both primary and secondary sides of the transformer and plotted in Figs. 3 and. In Fig. 3, a second order polynomial fit shows decrease in the maximum PV that can integrated at the PCC as a function of distance from the substation. However from the contour plot in Fig., it can be inferred that the P P V max

4 at the secondary of the transformer does not vary with the increase in distance but it varies proportional to the rating of the service transformer. kva Rating of Service Transformer Ppv - distance (MW) Ppv Vs distance Polynomial fit 2 6 Distance from Subsation (miles) Fig. 3. P P V max at the primary of the service transformer. 15 Ppv (kw) Distance from Substation (miles) Fig.. P P V max at the secondary of the service transformer ) PV integration at Primary/Secondary wires: The P P Vmax is calculated at the primary and secondary wires of the service transformer in the previous section. It can be observed that the maximum amount of PV integrated in the primary side of the transformer varies from 1 MW to about 1 MW, whereas at the secondary side of the transformer the maximum PV array size that can be integrated is about.5 MW. Therefore, it is clear that the voltage level at which the PV array is integrated greatly influences the P P Vmax that can be integrated in a distribution grid. 3) Voltage regulation equipments: The circuit under study has 3 fixed capacitors and one LTC transformer at the substation. For the base case when no PV is integrated load flow analysis in Distribution System Simulator (OpenDSS) recorded that all the capacitor are OFF and the LTC transformer is at tap setting. PV hosting capacity of the circuit is calculated using a stochastic analysis framework that is widely used in literature [], [6], [1] and the corresponding capacity is called the Range-1 hosting capacity. It is to be noted that the PV size and location of the deployments in the stochastic analysis are randomly chosen and not using the relation in (3). The analysis framework simulates a large variation in PV deployment scenarios. For the analysis 1 residential PV deployment scenarios are considered, each scenario has 5 PV penetration levels varying from 2% to 1% at 2% increment. Therefore, there are 5, cases to analyze using load flow analysis. From the load flow analysis, the PV size (kw) that correspond to first violation of the impact criteria is defined as the hosting capacity of the circuit. The load flow simulations are performed at representative minimum and maximum load measured during solar peak period (1am to 2pm) which is calculated to be 1.93 MW and 21.6 MW, respectively for the circuit. Also it is assumed in the load flow analysis that the installed PVs are generating at its peak. Impact Criteria Overall Sec. V. Dev Pri. V. Dev Sec. OverV Pri. OverV Percentage of Median Daylight Time Max. Load (%) % 5% 1% Range-2 PV Capacity Range-1 PV Capacity PV installed capacity (kw) Fig. 5. Range 1 and 2 hosting capacity of the distribution feeder. The Range 1 hosting capacity of the circuit is evaluated for various criteria such as over voltage and voltage deviation concern. The results of Range 1 hosting capacity are represented as the percentage of median peak load which is calculated to be 16. MW. It can be observed from the results, that the overall Range 1 hosting capacity is 2.6 MW or 15% of the median daylight time load, limited by overvoltage concern at the secondary wires of the circuit. A new hosting capacity is calculated by allowing 2 3 tap operations and it is referred as Range-2 hosting capacity. It is recorded that the taps of the LTC transformer changed from to 2 tap settings. It can be observed that two tap changes have improved the overall hosting capacity of the circuit to 9.6 MW or 57% of the median daylight time peak load. Although there are no extra installation costs associated with these changes, there may be operational costs associated with each tap change process. Therefore, a time series simulation is carried out to record the total number of tap operations in a year for the circuit. One minute resolution PV profile data for one year is used in the time series study [15]. It is assumed in this study that the PV irradiance is constant throughout the feeder and the same profile is applied for all the PVs in the grid. The load shapes with 1 hour resolution for a year are available with the circuit.

5 The total number of tap operations in the base case i.e., before the PV integration is calculated to be 7 operations. To study the total number of tap operations with PV integrated in the grid, the three fixed capacitors are disconnected and the time series simulation is performed again. The total number of tap operations for the case is calculated to be 993, which is only about 12% more than the initial case study without PV in the grid. The increase in tap operations is not significant, it can be due to the reason that the voltage regulator is at the substation which is a strong bus with short circuit strength of about 22 MVA. ) Minimum load of the distribution feeder: The hosting capacity in the previous section is calculated to be 2.6 MW, at the representative minimum load value of 1.9 MW. The effect of minimum load on hosting capacity is discussed in this section. The hosting capacity with respect to secondary overvoltage criteria did not vary much with the changes in minimum load of the circuit, whereas the hosting capacity calculated with respect to primary overvoltage concern in Fig. 6 shows about 1.5 MW increase in hosting capacity with every 1 MW (1%) increase in minimum load of the circuit. PV Hosting Capacity (MW) w.r.t Primary Overvoltage % Median Daytime Peak Load Minimum Load of the Circuit (MW) Fig. 6. Hosting capacity as a function of minimum load. 5) Reactive power support from the PV inverters: The hosting capacity of the circuit increased by more than 2 times in (), with reactive power support. The result is validated using stochastic analysis and a new hosting capacity is calculated and referred as the Range 3 hosting capacity. The Range 3 hosting capacity is calculated by allowing the PV inverters to inject power at the power factor of.95 and the results are shown in Fig. 7. It can be observed that the Range 3 hosting capacity of the feeder increased from 7.9 MW (Range 2) to 1.7 MW, which is about 112% of the median daytime peak load of the circuit. Further analysis showed that setting only about 5% of the total PV inverters in the circuit to.95 power factor is sufficient to increase the hosting capacity to 1.7 MW. Also with the inverters regulating the voltage, the total number of tap operations over the year for the circuit is calculated to be 331, which is about decrease in 6% of the total tap operations than the initial case study without PV in the grid. Since the inverters are now regulating the voltage, the need for the regulation provided by the substation transformer is reduced considerably. Range-1: Secondary Overvloltage Range-2 (Transformer tap changes) Range-3 : fixed pf=-.95 % of Median Daytime Peak Load % 2% % 6% % 1% PV installed capacity (kw) Fig. 7. Range 1, 2 and 3 hosting capacity of the distribution feeder. IV. CONCLUSION 171 The sensitivity of the PV hosting capacity of the distribution grids to various factors is analyzed with a simplified feeder model and also with stochastic analysis on the actual distribution circuit model. Some valuable insights on dependence of hosting capacity on the MVA rating of the service transformer, voltage level at the PCC, existing regulation devices and smart inverter functionality are derived in this paper. Identifying the factors that affect hosting capacity can be useful in formulating fast screening method to process PV interconnection requests. REFERENCES [1] Technology Roadmap: Solar Photovoltaic Energy. IEA, 21. [2] [3] C. Whitaker, J. Newmiller, M. Ropp, and B. Norris, Distributed photovoltaic systems design and technology requirements, Sandia/SAND2-96 P, Tech. Rep, 2. [] M. Rylander, J. Smith, D. Lewis, and S. Steffel, Voltage impacts from distributed photovoltaics on two distribution feeders, in Power & Energy Society General Meeting (PES), 213 IEEE, pp [5] K. Coogan, M. J. Reno, S. Grijalva, and R. J. Broderick, Locational dependence of PV hosting capacity correlated with feeder load, in T&D Conference and Exposition, 21 IEEE PES, April 21, pp [6] A. Dubey, S. Santoso, and A. Maitra, Understanding photovoltaic hosting capacity of distribution circuits, in Power & Energy Society General Meeting, 215 IEEE. IEEE, 215, pp [7] IEEE Standard for Interconnecting Distributed Resources with Electric Power Systems - Amendment 1, IEEE Std 157A-21 (Amendment to IEEE Std ), pp. 1 16, May 21. [] J. Seuss, M. Reno, R. Broderick, and S. Grijalva, Improving distribution network PV hosting capacity via smart inverter reactive power support, in Power & Energy Society General Meeting, 215 IEEE, July 215, pp [9] J. Johnson, B. Schenkman, A. Ellis, J. Quiroz, and C. Lenox, Initial operating experience of the la ola 1.2-MW photovoltaic system, Sandia report, SAND211-, 211. [1] A. Samadi, R. Eriksson, L. Soder, B. Rawn, and J. Boemer, Coordinated active power-dependent voltage regulation in distribution grids with PV systems, IEEE Transactions on Power Delivery, vol. 29, no. 3, pp , June 21. [11] Electric Rule No. 21: Generating Facility Interconnections, Cal. P.U.C. 31-E, January 215. [12] J. Cale, B. Palmintier, D. Narang, and K. Carroll, Clustering distribution feeders in the arizona public service territory, in Photovoltaic Specialist Conference (PVSC), 21 IEEE th, June 21, pp [13] [1] J. Smith, Stochastic analysis to determine feeder hosting capacity for distributed solar PV, Electric Power Research Inst., Palo Alto, CA, Tech. Rep, vol. 1266, 212. [15] Pecan Street Inc. Dataport 215.

Modeling Distribution System Impacts of Solar Variability and Interconnection Location

Modeling Distribution System Impacts of Solar Variability and Interconnection Location Modeling Distribution System Impacts of Solar Variability and Interconnection Location Photos placed in horizontal position with even amount of white space between photos and header Matthew J. Reno 1,2,

More information

Using Hosting Capacity Methodology to Develop Simplified Screens for New Solar PV Interconnections

Using Hosting Capacity Methodology to Develop Simplified Screens for New Solar PV Interconnections Using Hosting Capacity Methodology to Develop Simplified Screens for New Solar PV Interconnections Jeff Smith, Matt Rylander EPRI Robert Broderick Sandia National Laboratory Barry Mather NREL 6 th International

More information

STOCHASTIC ESTIMATION OF FEEDER-SPECIFIC DISTRIBUTED GENERATION (DG) HOSTING CAPACITY

STOCHASTIC ESTIMATION OF FEEDER-SPECIFIC DISTRIBUTED GENERATION (DG) HOSTING CAPACITY STOCHASTIC ESTIMATION OF FEEDER-SPECIFIC DISTRIBUTED GENERATION (DG) HOSTING CAPACITY Estorque, L.K.L, REE, MSEE, Manila Electric Company (MERALCO), lklestorque@meralco.com.ph ABSTRACT The significant

More information

Assessing Feeder Hosting Capacity for Distributed Generation Integration

Assessing Feeder Hosting Capacity for Distributed Generation Integration 21, rue d Artois, F-75008 PARIS CIGRE US National Committee http : //www.cigre.org 2015 Grid of the Future Symposium Assessing Feeder Hosting Capacity for Distributed Generation Integration D. APOSTOLOPOULOU*,

More information

PV Grid Integration Research in the U.S.

PV Grid Integration Research in the U.S. PV Grid Integration Research in the U.S. Barry Mather Ph.D. NREL- Power Systems Engineering Center HEPIA IEA PVPS Task 14 Utility Workshop Geneva, Switzerland March 31 st, 2014 NREL is a national laboratory

More information

Renewable Grid Integration Research in the U.S.

Renewable Grid Integration Research in the U.S. Renewable Grid Integration Research in the U.S. Barry Mather Ph.D. NREL- Distributed Energy Systems Integration Group UNSW IEA PVPS Task 14 Workshop Sydney, AU November 26 th, 2013 NREL is a national laboratory

More information

Targeted Application of STATCOM Technology in the Distribution Zone

Targeted Application of STATCOM Technology in the Distribution Zone Targeted Application of STATCOM Technology in the Distribution Zone Christopher J. Lee Senior Power Controls Design Engineer Electrical Distribution Division Mitsubishi Electric Power Products Electric

More information

CIS-IEEE 2017 Conference Renewable Energy Session Renewable Energy s Impact of Power Systems

CIS-IEEE 2017 Conference Renewable Energy Session Renewable Energy s Impact of Power Systems CIS-IEEE 2017 Conference Renewable Energy Session Renewable Energy s Impact of Power Systems Ben Huckaba, P.E. President & Principal Engineer 317-273-9841 benh@alphaeng.us Indiana University Bloomington,

More information

Design and Implementation of Reactive Power with Multi Mode Control for Solar Photovoltaic Inverter in Low Voltage Distribution System

Design and Implementation of Reactive Power with Multi Mode Control for Solar Photovoltaic Inverter in Low Voltage Distribution System Design and Implementation of Reactive Power with Multi Mode Control for Solar Photovoltaic Inverter in Low Voltage Distribution System K.Sudhapriya 1, S.Preethi 2, M.Ejas Ahamed 3 PG Scholar 1,2,3 Department

More information

Guideline for Using IEEE 1547 for Solar PV Interconnection Page 1

Guideline for Using IEEE 1547 for Solar PV Interconnection Page 1 Guideline for Using IEEE 1547 for Solar PV Interconnection Page 1 A Guide for Iowa s Municipal Electric Utilities On the How the IEEE 1547 Distributed Generation Interconnection Standard Affects Solar

More information

Field Verification and Data Analysis of High PV Penetration Impacts on Distribution Systems

Field Verification and Data Analysis of High PV Penetration Impacts on Distribution Systems Field Verification and Data Analysis of High PV Penetration Impacts on Distribution Systems Farid Katiraei *, Barry Mather **, Ahmadreza Momeni *, Li Yu *, and Gerardo Sanchez * * Quanta Technology, Raleigh,

More information

Southern Company Interconnection Process. Dexter Lewis Research Engineer Research and Technology Management

Southern Company Interconnection Process. Dexter Lewis Research Engineer Research and Technology Management Southern Company Interconnection Process Dexter Lewis Research Engineer Research and Technology Management Southern Company Outline Southern Company GPC Solar Interconnection Process Application requirements

More information

Grid Stability Analysis for High Penetration Solar Photovoltaics

Grid Stability Analysis for High Penetration Solar Photovoltaics Grid Stability Analysis for High Penetration Solar Photovoltaics Ajit Kumar K Asst. Manager Solar Business Unit Larsen & Toubro Construction, Chennai Co Authors Dr. M. P. Selvan Asst. Professor Department

More information

Accidental Islanding of Distribution Systems with Multiple Distributed Generation Units of Various Technologies

Accidental Islanding of Distribution Systems with Multiple Distributed Generation Units of Various Technologies CIGRÉ-EPRI Grid of the Future Symposium 21, rue d Artois, F-75008 PARIS Boston, MA, October 20-22, 2013 http : //www.cigre.org Accidental Islanding of Distribution Systems with Multiple Distributed Generation

More information

An Integrated Grid Path for Solar. Thomas Key, EPRI Senior Technical Executive. ISES Webinar. April 22, 2016

An Integrated Grid Path for Solar. Thomas Key, EPRI Senior Technical Executive. ISES Webinar. April 22, 2016 An Integrated Grid Path for Solar Thomas Key, EPRI Senior Technical Executive ISES Webinar April 22, 2016 Changing Landscape: An Integrated Grid is a Better Grid Combined Heat & Power Demand Response Energy

More information

Model-Based Integrated High Penetration Renewables Planning and Control Analysis

Model-Based Integrated High Penetration Renewables Planning and Control Analysis Model-Based Integrated High Penetration Renewables Planning and Control Analysis October 22, 2015 Steve Steffel, PEPCO Amrita Acharya-Menon, PEPCO Jason Bank, EDD SUNRISE Department of Energy Grant Model-Based

More information

C PER. Center for Advanced Power Engineering Research C PER

C PER. Center for Advanced Power Engineering Research C PER Center for Advanced Power Engineering Research C PER 2017 Summer Research Planning Workshop Energy Storage Technologies and Application Roadmap Presented By: Johan Enslin Zucker Family Graduate Education

More information

Grid Management Voltage Control Distribution Grid Voltage Regulation with DER. Michael Sheehan, P.E. IREC Pacific Northwest Solar Partnership

Grid Management Voltage Control Distribution Grid Voltage Regulation with DER. Michael Sheehan, P.E. IREC Pacific Northwest Solar Partnership Grid Management Voltage Control Distribution Grid Voltage Regulation with DER Michael Sheehan, P.E. IREC Pacific Northwest Solar Partnership Overview of Grid Management Distribution Voltage Control Grid

More information

Y9. GEH2.3: FREEDM Cost Benefit Analysis based on Detailed Utility Circuit Models

Y9. GEH2.3: FREEDM Cost Benefit Analysis based on Detailed Utility Circuit Models Y9. GEH2.3: FREEDM Cost Benefit Analysis based on Detailed Utility Circuit Models Project Leader: Faculty: Students: M. Baran David Lubkeman Lisha Sun, Fanjing Guo I. Project Goals The goal of this task

More information

FAULT ANALYSIS OF AN ISLANDED MICRO-GRID WITH DOUBLY FED INDUCTION GENERATOR BASED WIND TURBINE

FAULT ANALYSIS OF AN ISLANDED MICRO-GRID WITH DOUBLY FED INDUCTION GENERATOR BASED WIND TURBINE FAULT ANALYSIS OF AN ISLANDED MICRO-GRID WITH DOUBLY FED INDUCTION GENERATOR BASED WIND TURBINE Yunqi WANG, B.T. PHUNG, Jayashri RAVISHANKAR School of Electrical Engineering and Telecommunications The

More information

Research on Transient Stability of Large Scale Onshore Wind Power Transmission via LCC HVDC

Research on Transient Stability of Large Scale Onshore Wind Power Transmission via LCC HVDC Research on Transient Stability of Large Scale Onshore Wind Power Transmission via LCC HVDC Rong Cai, Mats Andersson, Hailian Xie Corporate Research, Power and Control ABB (China) Ltd. Beijing, China rong.cai@cn.abb.com,

More information

New York Science Journal 2017;10(3)

New York Science Journal 2017;10(3) Improvement of Distribution Network Performance Using Distributed Generation (DG) S. Nagy Faculty of Engineering, Al-Azhar University Sayed.nagy@gmail.com Abstract: Recent changes in the energy industry

More information

ECEN 667 Power System Stability Lecture 19: Load Models

ECEN 667 Power System Stability Lecture 19: Load Models ECEN 667 Power System Stability Lecture 19: Load Models Prof. Tom Overbye Dept. of Electrical and Computer Engineering Texas A&M University, overbye@tamu.edu 1 Announcements Read Chapter 7 Homework 6 is

More information

Solar Development in New Jersey, and PV Impacts on the Distribution System Carnegie Mellon Conference on the Electricity Industry - March 9, 2011

Solar Development in New Jersey, and PV Impacts on the Distribution System Carnegie Mellon Conference on the Electricity Industry - March 9, 2011 Solar Development in New Jersey, and PV Impacts on the Distribution System Carnegie Mellon Conference on the Electricity Industry - March 9, 2011 Jim Calore Public Service Electric & Gas Co. Overview This

More information

Western Electricity Coordinating Council Modeling and Validation Work Group

Western Electricity Coordinating Council Modeling and Validation Work Group Western Electricity Coordinating Council Modeling and Validation Work Group Renewable Energy Modeling Task Force Development of Planning Models dl for Solar PV Systems November 18, 2009 Phoenix, AZ Contact:

More information

Energy Security Electrical Islanding Approach and Assessment Tools. Dr. Bill Kramer Senior Research Engineer Distributed Energy Systems Integration

Energy Security Electrical Islanding Approach and Assessment Tools. Dr. Bill Kramer Senior Research Engineer Distributed Energy Systems Integration Energy Security Electrical Islanding Approach and Assessment Tools Dr. Bill Kramer Senior Research Engineer Distributed Energy Systems Integration Dr. Bill Kramer - 2 Electricity, Resources, & Building

More information

Characterization of Voltage Rise Issue due to Distributed Solar PV Penetration

Characterization of Voltage Rise Issue due to Distributed Solar PV Penetration Characterization of Voltage Rise Issue due to Distributed Solar PV Penetration Abdullah T. Alshaikh, Thamer Alquthami, Sreerama Kumar R. Department of Electrical and Computer Engineering, King Abdulaziz

More information

Impact of electric vehicles on the IEEE 34 node distribution infrastructure

Impact of electric vehicles on the IEEE 34 node distribution infrastructure International Journal of Smart Grid and Clean Energy Impact of electric vehicles on the IEEE 34 node distribution infrastructure Zeming Jiang *, Laith Shalalfeh, Mohammed J. Beshir a Department of Electrical

More information

RENEWABLE source of energies have received the nations

RENEWABLE source of energies have received the nations Proceedings of International Conference on Electrical Electronics and Industrial Automation Held on 23rd-24th January 2016, in Pattaya, ISBN: 9788193137338 Coordinated Apparent Power Control of Grid-Connected

More information

DOE/VT/EPRI Hi-Pen PV Project, Phase III

DOE/VT/EPRI Hi-Pen PV Project, Phase III DOE/VT/EPRI Hi-Pen PV Project, Phase III Smart Inverter Modeling Results, Variability Analysis, and Hosting Capacity Beyond Thresholds Matt Rylander Senior Project Engineer Wes Sunderman, Senior Project

More information

Electric Vehicles Coordinated vs Uncoordinated Charging Impacts on Distribution Systems Performance

Electric Vehicles Coordinated vs Uncoordinated Charging Impacts on Distribution Systems Performance Electric Vehicles Coordinated vs Uncoordinated Charging Impacts on Distribution Systems Performance Ahmed R. Abul'Wafa 1, Aboul Fotouh El Garably 2, and Wael Abdelfattah 2 1 Faculty of Engineering, Ain

More information

Battery Energy Storage System addressing the Power Quality Issue in Grid Connected Wind Energy Conversion System 9/15/2017 1

Battery Energy Storage System addressing the Power Quality Issue in Grid Connected Wind Energy Conversion System 9/15/2017 1 Battery Energy Storage System addressing the Power Quality Issue in Grid Connected Wind Energy Conversion System 9/15/2017 1 CONTENTS Introduction Types of WECS PQ problems in grid connected WECS Battery

More information

Rate Impact of Net Metering. Jason Keyes & Joseph Wiedman Interstate Renewable Energy Council April 6, 2010

Rate Impact of Net Metering. Jason Keyes & Joseph Wiedman Interstate Renewable Energy Council April 6, 2010 Rate Impact of Net Metering Jason Keyes & Joseph Wiedman Interstate Renewable Energy Council April 6, 2010 1 Scope Impact of net metering on utility rates for customers without distributed generation Proposes

More information

Solar Photovoltaic Inverter Current Distribution during Fault on Distribution and Transmission System

Solar Photovoltaic Inverter Current Distribution during Fault on Distribution and Transmission System Solar Photovoltaic Inverter Current Distribution during Fault on Distribution and Transmission System Rishabh Pandey, Uttam Singh, Varun Sachdeva, Jaikaran Singh Department of Electronic and Communication

More information

INSTALLATION OF CAPACITOR BANK IN 132/11 KV SUBSTATION FOR PARING DOWN OF LOAD CURRENT

INSTALLATION OF CAPACITOR BANK IN 132/11 KV SUBSTATION FOR PARING DOWN OF LOAD CURRENT INSTALLATION OF CAPACITOR BANK IN 132/11 KV SUBSTATION FOR PARING DOWN OF LOAD CURRENT Prof. Chandrashekhar Sakode 1, Vicky R. Khode 2, Harshal R. Malokar 3, Sanket S. Hate 4, Vinay H. Nasre 5, Ashish

More information

SPIDER Modeling Sub-Group DER Modeling, CAISO Experience

SPIDER Modeling Sub-Group DER Modeling, CAISO Experience SPIDER Modeling Sub-Group DER Modeling, CAISO Experience Irina Green, Modeling Sub-Group Chair Regional Transmission Senior Advisor, California ISO NERC SPIDER Work Group Meeting, January 2019 Presentation

More information

Compliance of Solar PV Installation with the New Renewables SA Grid Code Jimmy Goulding, Electrical Technologist, Aurecon, South Africa

Compliance of Solar PV Installation with the New Renewables SA Grid Code Jimmy Goulding, Electrical Technologist, Aurecon, South Africa Compliance of Solar PV Installation with the New Renewables SA Grid Code Jimmy Goulding, Electrical Technologist, Aurecon, South Africa Content Introduction Overview of Categories for Grid Connection of

More information

Adaptive Power Flow Method for Distribution Systems With Dispersed Generation

Adaptive Power Flow Method for Distribution Systems With Dispersed Generation 822 IEEE TRANSACTIONS ON POWER DELIVERY, VOL. 17, NO. 3, JULY 2002 Adaptive Power Flow Method for Distribution Systems With Dispersed Generation Y. Zhu and K. Tomsovic Abstract Recently, there has been

More information

VOLT VAR CONTROL AT THE LV DISTRIBUTION LEVEL IN THE GREENLYS PROJECT

VOLT VAR CONTROL AT THE LV DISTRIBUTION LEVEL IN THE GREENLYS PROJECT VOLT VAR CONTROL AT THE LV DISTRIBUTION LEVEL IN THE GREENLYS PROJECT Jean WILD Guillaume ROUPIOZ Yves CHOLLOT SCHNEIDER ELECTRIC France ERDF France SCHNEIDER ELECTRIC France jean2.wild@schneider-electric.com

More information

Impacts of Voltage Control Methods on Distribution Circuit s Photovoltaic (PV) Integration Limits

Impacts of Voltage Control Methods on Distribution Circuit s Photovoltaic (PV) Integration Limits inventions Article Impacts Voltage Methods on Distribution Circuit s Photovoltaic () Integration Limits Anamika Dubey School Electrical Engineering Computer Science, Washington State University; Pullman,

More information

Small Electrical Systems (Microgrids)

Small Electrical Systems (Microgrids) ELG4126: Microgrids Small Electrical Systems (Microgrids) A microgrid is a localized, scalable, and sustainable power grid consisting of an aggregation of electrical and thermal loads and corresponding

More information

Increasing PV Hosting Capacity in Distribution Networks: Challenges and Opportunities. Dr Andreas T. Procopiou

Increasing PV Hosting Capacity in Distribution Networks: Challenges and Opportunities. Dr Andreas T. Procopiou 2018 A.T. Procopiou - The University of Melbourne MIE Symposium, December 2018 1 Increasing PV Hosting Capacity in Distribution Networks: Challenges and Opportunities Dr Andreas T. Procopiou Research Fellow

More information

An Alternative to Reduce Medium-Voltage Transient Recovery Voltage Peaks

An Alternative to Reduce Medium-Voltage Transient Recovery Voltage Peaks An Alternative to Reduce Medium-Voltage Transient Recovery Voltage Peaks D. M. Nobre W. L. A. Neves B. A. de Souza Departamento de Engenharia Elétrica - UFPB Av. Aprígio Veloso, 882 Bodocongó 58.109-970,

More information

Available online at ScienceDirect. Energy Procedia 100 (2016 )

Available online at   ScienceDirect. Energy Procedia 100 (2016 ) Available oine at www.sciencedirect.com ScienceDirect Energy Procedia 100 (2016 ) 388 395 3rd International Conference on Power and Energy Systems Engineering, CPESE 2016, 8-12 September 2016, Kitakyushu,

More information

DYNAMIC LOAD FLOW STUDIES OF DISTRIBUTION FEEDS IN THE SAN JOAQUIN VALLEY REGION

DYNAMIC LOAD FLOW STUDIES OF DISTRIBUTION FEEDS IN THE SAN JOAQUIN VALLEY REGION DYNAMIC LOAD FLOW STUDIES OF DISTRIBUTION FEEDS IN THE SAN JOAQUIN VALLEY REGION INTERIM REPORT AS OF JULY 21, 2016 PRESENTED JULY 21, 2016 1 TABLE OF CONTENTS Section Introduction Advanced Inverter Approach

More information

The Effect Of Distributed Generation On Voltage Profile and Electrical Power Losses Muhammad Waqas 1, Zmarrak Wali Khan 2

The Effect Of Distributed Generation On Voltage Profile and Electrical Power Losses Muhammad Waqas 1, Zmarrak Wali Khan 2 International Journal of Engineering Works Kambohwell Publisher Enterprises Vol., Issue 1, PP. 99-103, Dec. 015 www.kwpublisher.com The Effect Of Distributed Generation On Voltage Profile and Electrical

More information

A Framework for Stacked-Benefit Analysis of Distribution-Level Energy Storage Deployment

A Framework for Stacked-Benefit Analysis of Distribution-Level Energy Storage Deployment inventions Article A Framework Stacked-Benefit Analysis Distribution-Level Energy Srage Deployment Anamika Dubey 1, *, Pisitpol Chirapongsananurak 2 Surya Sanso 3 1 School Electrical Engineering Computer

More information

Analysis of Grid Connected Solar Farm in ETAP Software

Analysis of Grid Connected Solar Farm in ETAP Software ABSTRACT 2017 IJSRSET Volume 3 Issue 3 Print ISSN: 2395-1990 Online ISSN : 2394-4099 Themed Section: Engineering and Technology Analysis of Grid Connected Solar Farm in ETAP Software Komal B. Patil, Prof.

More information

Enhancement of Transient Stability Using Fault Current Limiter and Thyristor Controlled Braking Resistor

Enhancement of Transient Stability Using Fault Current Limiter and Thyristor Controlled Braking Resistor > 57 < 1 Enhancement of Transient Stability Using Fault Current Limiter and Thyristor Controlled Braking Resistor Masaki Yagami, Non Member, IEEE, Junji Tamura, Senior Member, IEEE Abstract This paper

More information

New Trends in Grid Integration of Solar Photovoltaic Energy Systems

New Trends in Grid Integration of Solar Photovoltaic Energy Systems New Trends in Grid Integration of Solar Photovoltaic Energy Systems Professor Saifur Rahman Virginia Tech Advanced Research Institute Virginia, USA PVES Workshop Cairo, Egypt 12 July 2015 Virginia Tech

More information

Generator Interconnection System Impact Study For

Generator Interconnection System Impact Study For Generator Interconnection System Impact Study For Prepared for: January 15, 2015 Prepared by: SCE&G Transmission Planning Table of Contents General Discussion... Page 3 I. Generator Interconnection Specifications...

More information

Impact Analysis of Fast Charging to Voltage Profile in PEA Distribution System by Monte Carlo Simulation

Impact Analysis of Fast Charging to Voltage Profile in PEA Distribution System by Monte Carlo Simulation 23 rd International Conference on Electricity Distribution Lyon, 15-18 June 215 Impact Analysis of Fast Charging to Voltage Profile in PEA Distribution System by Monte Carlo Simulation Bundit PEA-DA Provincial

More information

Impact of Distributed Generation and Storage on Zero Net Energy (ZNE)

Impact of Distributed Generation and Storage on Zero Net Energy (ZNE) Impact of Distributed Generation and Storage on Zero Net Energy (ZNE) Omar Siddiqui Senior Technical Executive Emerging Technologies Summit San Francisco, CA October 21, 2014 Together Shaping the Future

More information

Designing and Maintaining a Pollution-Resilient Electric Power System. Managing Pollution Issues

Designing and Maintaining a Pollution-Resilient Electric Power System. Managing Pollution Issues Designing and Maintaining a Pollution-Resilient Electric Power System Tom McDermott IEEE/PES T&D Conference April 21-24, 2008 Chicago, IL Managing Pollution Issues Define the metrics, and measure them

More information

Analysis of Variability of Solar Panels in The Distribution System

Analysis of Variability of Solar Panels in The Distribution System Analysis of ariability of Solar Panels in The Distribution System Tatianne Da Silva Jonathan Devadason Dr. Hector Pulgar-Painemal College of Electrical Engineering Research Assistant Assistant Professor

More information

INCREASING electrical network interconnection is

INCREASING electrical network interconnection is Analysis and Quantification of the Benefits of Interconnected Distribution System Operation Steven M. Blair, Campbell D. Booth, Paul Turner, and Victoria Turnham Abstract In the UK, the Capacity to Customers

More information

CHAPTER 5 FAULT AND HARMONIC ANALYSIS USING PV ARRAY BASED STATCOM

CHAPTER 5 FAULT AND HARMONIC ANALYSIS USING PV ARRAY BASED STATCOM 106 CHAPTER 5 FAULT AND HARMONIC ANALYSIS USING PV ARRAY BASED STATCOM 5.1 INTRODUCTION Inherent characteristics of renewable energy resources cause technical issues not encountered with conventional thermal,

More information

TRANSMISSION LOSS MINIMIZATION USING ADVANCED UNIFIED POWER FLOW CONTROLLER (UPFC)

TRANSMISSION LOSS MINIMIZATION USING ADVANCED UNIFIED POWER FLOW CONTROLLER (UPFC) TRANSMISSION LOSS MINIMIZATION USING ADVANCED UNIFIED POWER FLOW CONTROLLER (UPFC) Nazneen Choudhari Department of Electrical Engineering, Solapur University, Solapur Nida N Shaikh Department of Electrical

More information

Design of Active and Reactive Power Control of Grid Tied Photovoltaics

Design of Active and Reactive Power Control of Grid Tied Photovoltaics IJCTA, 9(39), 2016, pp. 187-195 International Science Press Closed Loop Control of Soft Switched Forward Converter Using Intelligent Controller 187 Design of Active and Reactive Power Control of Grid Tied

More information

OPENDSS SIMULATIONS ON KAUPINRINNE LV-NETWORK

OPENDSS SIMULATIONS ON KAUPINRINNE LV-NETWORK - 1 - OPENDSS SIMULATIONS ON KAUPINRINNE LV-NETWORK Table of Contents Introduction... 1 The Model... 2 General description of the modelled network... 2 Model composition... 3 Simulations... 4 Power flow

More information

Comments on the Solar Alliance Proposal for Changes to New Jersey Interconnection Rules

Comments on the Solar Alliance Proposal for Changes to New Jersey Interconnection Rules Comments on the Solar Alliance Proposal for Changes to New Jersey Interconnection Rules Submitted to New Jersey Board of Public Utilities By Qado Energy Power Engineering Team August 12, 2011 1 Table of

More information

Presented By: Bob Uluski Electric Power Research Institute. July, 2011

Presented By: Bob Uluski Electric Power Research Institute. July, 2011 SMART DISTRIBUTION APPLICATIONS &THEIR INTEGRATION IN A SMART GRID ENVIRONMENT Presented By: Bob Uluski Electric Power Research Institute July, 2011 Key Smart Distribution Applications What are the major

More information

International Approaches for an Integrated Grid

International Approaches for an Integrated Grid International Approaches for an Integrated Grid Matt Wakefield Director, Information, Communication and Cyber Security (ICCS) mwakefield@epri.com June 15, 2016 Together Shaping the Future of Electricity

More information

Simulated Switching Transients in the External Grid of Walney Offshore Wind Farm

Simulated Switching Transients in the External Grid of Walney Offshore Wind Farm Downloaded from orbit.dtu.dk on: Apr 07, 2019 Simulated Switching Transients in the External Grid of Walney Offshore Wind Farm Arana Aristi, Iván; Johnsen, D. T.; Soerensen, T.; Holbøll, Joachim Published

More information

Issues for connection of distributed generation in rural/remote power systems

Issues for connection of distributed generation in rural/remote power systems University of Wollongong Research Online Faculty of Engineering and Information Sciences - Papers: Part A Faculty of Engineering and Information Sciences 2003 Issues for connection of distributed generation

More information

Smart Integrated Adaptive Centralized Controller for Islanded Microgrids under Minimized Load Shedding

Smart Integrated Adaptive Centralized Controller for Islanded Microgrids under Minimized Load Shedding Smart Integrated Adaptive Centralized Controller for Islanded Microgrids under Minimized Load Shedding M. Karimi 1, R. Azizipanah-Abarghooee 1, H. Uppal 1, Q. Hong 2, C. Booth 2, and V. Terzija 1 1 The

More information

The Role of Electricity Storage on the Grid each location requires different requirements

The Role of Electricity Storage on the Grid each location requires different requirements Functional Requirements for Energy on the Utility Grid EPRI Renewable Council Meeting Bill Steeley Senior Project Manager Dan Rastler Program Manager April 5-6, 2011 The Role of Electricity on the Grid

More information

Distribution System DER Hosting Capacity IEEE34 PV

Distribution System DER Hosting Capacity IEEE34 PV Distribution System DER Hosting Capacity IEEE34 PV usa.siemens.com/digitalgrid Analysis Setup Hourly Load Flow Analysis Load Profile: Two Days Peak and Light For each class: Residential, Commercial, Industrial

More information

Impacts of Fast Charging of Electric Buses on Electrical Distribution Systems

Impacts of Fast Charging of Electric Buses on Electrical Distribution Systems Impacts of Fast Charging of Electric Buses on Electrical Distribution Systems ABSTRACT David STEEN Chalmers Univ. of Tech. Sweden david.steen@chalmers.se Electric buses have gained a large public interest

More information

Distributed Energy Resources

Distributed Energy Resources Distributed Energy Resources WECC Data Subcommittee Rich Hydzik, Avista (ERSWG/DER Subgroup Lead) June 29, 2018 Why Are We Concerned About DER? Concern about changing generation fleet Large coal fired

More information

Essential Reliability Services From PV Plants

Essential Reliability Services From PV Plants Essential Reliability Services From PV Plants Mahesh Morjaria, Ph. D. VP, PV Systems Enabling a world powered by reliable, affordable solar electricity. Utility-Scale PV Plants Support Grid Stability &

More information

LOCAL VERSUS CENTRALIZED CHARGING STRATEGIES FOR ELECTRIC VEHICLES IN LOW VOLTAGE DISTRIBUTION SYSTEMS

LOCAL VERSUS CENTRALIZED CHARGING STRATEGIES FOR ELECTRIC VEHICLES IN LOW VOLTAGE DISTRIBUTION SYSTEMS LOCAL VERSUS CENTRALIZED CHARGING STRATEGIES FOR ELECTRIC VEHICLES IN LOW VOLTAGE DISTRIBUTION SYSTEMS Presented by: Amit Kumar Tamang, PhD Student Smart Grid Research Group-BBCR aktamang@uwaterloo.ca

More information

Reactive Power Compensation for Solar Power Plants. Andy Leon IEEE PES Chicago Chapter December 12 th, 2018

Reactive Power Compensation for Solar Power Plants. Andy Leon IEEE PES Chicago Chapter December 12 th, 2018 1 Reactive Power Compensation for Solar Power Plants Andy Leon IEEE PES Chicago Chapter December 12 th, 2018 2 Objectives Refresh the basics of reactive power from a generator s perspective Regulatory

More information

Voltage Sag Mitigation in IEEE 6 Bus System by using STATCOM and UPFC

Voltage Sag Mitigation in IEEE 6 Bus System by using STATCOM and UPFC IJSTE - International Journal of Science Technology & Engineering Volume 2 Issue 01 July 2015 ISSN (online): 2349-784X Voltage Sag Mitigation in IEEE 6 Bus System by using STATCOM and UPFC Ravindra Mohana

More information

A Cost Benefit Analysis of Faster Transmission System Protection Schemes and Ground Grid Design

A Cost Benefit Analysis of Faster Transmission System Protection Schemes and Ground Grid Design A Cost Benefit Analysis of Faster Transmission System Protection Schemes and Ground Grid Design Presented at the 2018 Transmission and Substation Design and Operation Symposium Revision presented at the

More information

Clark W Gellings, P.E. Fellow National Conference of State Legislators Energy Supply Task Force August 18, 2014

Clark W Gellings, P.E. Fellow National Conference of State Legislators Energy Supply Task Force August 18, 2014 Clark W Gellings, P.E. Fellow National Conference of State Legislators Energy Supply Task Force August 18, 2014 2014 Electric Power Research Institute, Inc. All rights reserved. Electric Power Research

More information

Implementation of Distributed Generation

Implementation of Distributed Generation Implementation of Distributed Generation Focusing on Rooftop Solar Installations and Associated Technologies JOSEPH GEDDIS, ELETRICAL ENGINEER Residential rooftop solar generation installations have been

More information

DISTRIBUTED GENERATION FROM SMALL HYDRO PLANTS. A CASE STUDY OF THE IMPACTS ON THE POWER DISTRIBUTION NETWORK.

DISTRIBUTED GENERATION FROM SMALL HYDRO PLANTS. A CASE STUDY OF THE IMPACTS ON THE POWER DISTRIBUTION NETWORK. DISTRIBUTED GENERATION FROM SMALL HYDRO PLANTS. A CASE STUDY OF THE IMPACTS ON THE POWER DISTRIBUTION NETWORK. N. Lettas*, A. Dagoumas*, G. Papagiannis*, P. Dokopoulos*, A. Zafirakis**, S. Fachouridis**,

More information

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering. (An ISO 3297: 2007 Certified Organization)

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering. (An ISO 3297: 2007 Certified Organization) Modeling and Control of Quasi Z-Source Inverter for Advanced Power Conditioning Of Renewable Energy Systems C.Dinakaran 1, Abhimanyu Bhimarjun Panthee 2, Prof.K.Eswaramma 3 PG Scholar (PE&ED), Department

More information

Interconnection System Impact Study Report Request # GI

Interconnection System Impact Study Report Request # GI Executive Summary Interconnection System Impact Study Report Request # GI-2008-23 34 MW Solar Generation Ranch at Hartsel, Colorado Public Service Company of Colorado Transmission Planning August 19, 2010

More information

United Power Flow Algorithm for Transmission-Distribution joint system with Distributed Generations

United Power Flow Algorithm for Transmission-Distribution joint system with Distributed Generations rd International Conference on Mechatronics and Industrial Informatics (ICMII 20) United Power Flow Algorithm for Transmission-Distribution joint system with Distributed Generations Yirong Su, a, Xingyue

More information

PID 274 Feasibility Study Report 13.7 MW Distribution Inter-Connection Buras Substation

PID 274 Feasibility Study Report 13.7 MW Distribution Inter-Connection Buras Substation PID 274 Feasibility Study Report 13.7 MW Distribution Inter-Connection Buras Substation Prepared by: Entergy Services, Inc. T & D Planning L-ENT-17A 639 Loyola Avenue New Orleans, LA 70113 Rev Issue Date

More information

Draft Guideline for the connection of smallscale inverter based distributed generation. EEA Asset Management Forum 22 June 2016 Dr Richard Strahan

Draft Guideline for the connection of smallscale inverter based distributed generation. EEA Asset Management Forum 22 June 2016 Dr Richard Strahan Draft Guideline for the connection of smallscale inverter based distributed generation EEA Asset Management Forum 22 June 2016 Dr Richard Strahan Outline 1. Introduction and Issues to Address 2. Methodology

More information

Galapagos San Cristobal Wind Project. VOLT/VAR Optimization Report. Prepared by the General Secretariat

Galapagos San Cristobal Wind Project. VOLT/VAR Optimization Report. Prepared by the General Secretariat Galapagos San Cristobal Wind Project VOLT/VAR Optimization Report Prepared by the General Secretariat May 2015 Foreword The GSEP 2.4 MW Wind Park and its Hybrid control system was commissioned in October

More information

The North Carolina solar experience: high penetration of utility-scale DER on the distribution system

The North Carolina solar experience: high penetration of utility-scale DER on the distribution system 1 The North Carolina solar experience: high penetration of utility-scale DER on the distribution system John W. Gajda, P.E. Duke Energy IEEE PES Working Group on Distributed Resources Integration 2 High

More information

Cost Benefit Analysis of Faster Transmission System Protection Systems

Cost Benefit Analysis of Faster Transmission System Protection Systems Cost Benefit Analysis of Faster Transmission System Protection Systems Presented at the 71st Annual Conference for Protective Engineers Brian Ehsani, Black & Veatch Jason Hulme, Black & Veatch Abstract

More information

Computation of Sensitive Node for IEEE- 14 Bus system Subjected to Load Variation

Computation of Sensitive Node for IEEE- 14 Bus system Subjected to Load Variation Computation of Sensitive Node for IEEE- 4 Bus system Subjected to Load Variation P.R. Sharma, Rajesh Kr.Ahuja 2, Shakti Vashisth 3, Vaibhav Hudda 4, 2, 3 Department of Electrical Engineering, YMCAUST,

More information

Coordinated Charging of Plug-in Hybrid Electric Vehicles to Minimize Distribution System Losses

Coordinated Charging of Plug-in Hybrid Electric Vehicles to Minimize Distribution System Losses Coordinated Charging of Plug-in Hybrid Electric Vehicles to Minimize Distribution System Losses Presented by: Amit Kumar Tamang, PhD Student Smart Grid Research Group-BBCR aktamang@uwaterloo.ca Supervisor

More information

American Electric Power s Energy Storage Deployments

American Electric Power s Energy Storage Deployments American Electric Power s Energy Storage Deployments 1 2 American Electric Power : Company Profile The Evolution of the Electric Utility System Before Smart Grid: One-way power flow, simple interactions,

More information

Research Needs for Grid Modernization

Research Needs for Grid Modernization Research Needs for rid Modernization WPI Annual Energy Symposium Worcester, MA September 29, 2016 Dr. Julio Romero Agüero Vice President Strategy & Business Innovation Houston, TX julio@quanta-technology.com

More information

/12/$ IEEE. M. Bashir M.Sc student, Student Member, IEEE Ferdowsi University of Mashhad Mashhad, Iran

/12/$ IEEE. M. Bashir M.Sc student, Student Member, IEEE Ferdowsi University of Mashhad Mashhad, Iran Effect of Increasing the Grounding Grid Resistance of a Ground System at a Substation on the Safety and Transient Overvoltage on the Interior Equipments M. Bashir M.Sc student, Student Member, IEEE Ferdowsi

More information

USAGE OF ACCUMULATION TO SUSTAIN THE DAILY DIAGRAM OF ELECTRICITY PRODUCTION IN PHOTOVOLTAIC POWER PLANT

USAGE OF ACCUMULATION TO SUSTAIN THE DAILY DIAGRAM OF ELECTRICITY PRODUCTION IN PHOTOVOLTAIC POWER PLANT USAGE OF ACCUMULATION TO SUSTAIN THE DAILY DIAGRAM OF ELECTRICITY PRODUCTION IN PHOTOVOLTAIC POWER PLANT M.Liška,D. Messori, A. Beláň Slovak University of Technology in Bratislava, Faculty of Electrical

More information

Session 8: Distributed Energy Resources Utility Concerns, Grid Impacts and Mitigation Strategies October 21, 2015 Santiago, Chile

Session 8: Distributed Energy Resources Utility Concerns, Grid Impacts and Mitigation Strategies October 21, 2015 Santiago, Chile Session 8: Distributed Energy Resources Utility Concerns, Grid Impacts and Mitigation Strategies October 21, 2015 Santiago, Chile Michael Coddington National Renewable Energy Laboratory Golden, Colorado,

More information

Power Quality and Power Interruption Enhancement by Universal Power Quality Conditioning System with Storage Device

Power Quality and Power Interruption Enhancement by Universal Power Quality Conditioning System with Storage Device Australian Journal of Basic and Applied Sciences, 5(9): 1180-1187, 2011 ISSN 1991-8178 Power Quality and Power Interruption Enhancement by Universal Power Quality Conditioning System with Storage Device

More information

New Power Flow Controller for Congestion Management and Reliability Improvement in Transmission and Distribution Systems

New Power Flow Controller for Congestion Management and Reliability Improvement in Transmission and Distribution Systems New Power Flow Controller for Congestion Management and Reliability Improvement in Transmission and Distribution Systems Alberto Del Rosso EPRI CIGRE US National Committee 204 Grid of the Future Symposium

More information

Enabling Smart Grid Interoperability: A System of Systems Approach via IEEE P2030 TM and IEEE 1547 TM

Enabling Smart Grid Interoperability: A System of Systems Approach via IEEE P2030 TM and IEEE 1547 TM Enabling Smart Grid Interoperability: A System of Systems Approach via IEEE P2030 TM and IEEE 1547 TM Standards presented May 2010 by Tom Basso Electricity, Resources and Building Systems Integration Center

More information

Level 2, Level 3 & Level 4 Interconnection Request Application Form (Greater than 25 kw to 10 MVA or less)

Level 2, Level 3 & Level 4 Interconnection Request Application Form (Greater than 25 kw to 10 MVA or less) Level 2, Level 3 & Level 4 Interconnection Request Application Form (Greater than 25 kw to 10 MVA or less) Interconnection Customer Contact Information Name Alternative Contact Information (if different

More information

INTEGRATING PLUG-IN- ELECTRIC VEHICLES WITH THE DISTRIBUTION SYSTEM

INTEGRATING PLUG-IN- ELECTRIC VEHICLES WITH THE DISTRIBUTION SYSTEM Paper 129 INTEGRATING PLUG-IN- ELECTRIC VEHICLES WITH THE DISTRIBUTION SYSTEM Arindam Maitra Jason Taylor Daniel Brooks Mark Alexander Mark Duvall EPRI USA EPRI USA EPRI USA EPRI USA EPRI USA amaitra@epri.com

More information

Virtual Synchronous Machines for Supporting Flexible Operation of Distribution Systems

Virtual Synchronous Machines for Supporting Flexible Operation of Distribution Systems JST-NSF-DFG-RCN Workshop on Distributed Energy Management Systems Arlington, Virginia, April 20-22, 2015 Virtual Synchronous Machines for Supporting Flexible Operation of Distribution Systems Jon Are Suul

More information

Network Reconfiguration for Loss Reduction and Voltage Profile Improvement of 110-Bus Radial Distribution System Using Exhaustive Search Techniques

Network Reconfiguration for Loss Reduction and Voltage Profile Improvement of 110-Bus Radial Distribution System Using Exhaustive Search Techniques International Journal of Electrical and Computer Engineering (IJECE) Vol. 5, No. 4, August 2015, pp. 788~797 ISSN: 2088-8708 788 Network Reconfiguration for Loss Reduction and Voltage Profile Improvement

More information