Reactive power support of smart distribution grids using optimal management of charging parking of PHEV

Similar documents
Implementation of FC-TCR for Reactive Power Control

Fuzzy based STATCOM Controller for Grid connected wind Farms with Fixed Speed Induction Generators

Abstract- In order to increase energy independency and decrease harmful vehicle emissions, plug-in hybrid electric vehicles

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

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

Dual power flow Interface for EV, HEV, and PHEV Applications

STABILIZATION OF ISLANDING PEA MICRO GRID BY PEVS CHARGING CONTROL

Modelling and Simulation of DFIG with Fault Rid Through Protection

ENHANCEMENT OF ROTOR ANGLE STABILITY OF POWER SYSTEM BY CONTROLLING RSC OF DFIG

POWER QUALITY IMPROVEMENT BASED UPQC FOR WIND POWER GENERATION

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

IEEE Transactions on Applied Superconductivity, 2012, v. 22 n. 3, p :1-5

Power Balancing Under Transient and Steady State with SMES and PHEV Control

Increasing the Battery Life of the PMSG Wind Turbine by Improving Performance of the Hybrid Energy Storage System

Fault Rid Through Protection of DFIG Based Wind Generation System

Performance Analysis of Transmission Line system under Unsymmetrical Faults with UPFC

Power Management with Solar PV in Grid-connected and Stand-alone Modes

A Novel Hybrid Smart Grid- PV-FC V2G Battery Charging Scheme

Impact of Plug-in Electric Vehicles on the Supply Grid

Journal of American Science 2015;11(11) Integration of wind Power Plant on Electrical grid based on PSS/E

Enhancement of Power Quality in Transmission Line Using Flexible Ac Transmission System

Research on V2G Control Strategy for EV Charge and Discharge Equipment

Dynamic Behaviour of Asynchronous Generator In Stand-Alone Mode Under Load Perturbation Using MATLAB/SIMULINK

Power System Stability Analysis on System Connected to Wind Power Generation with Solid State Fault Current Limiter

Electric Vehicles Coordinated vs Uncoordinated Charging Impacts on Distribution Systems Performance

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

Low Speed Control Enhancement for 3-phase AC Induction Machine by Using Voltage/ Frequency Technique

EE 742 Chap. 7: Wind Power Generation. Y. Baghzouz Fall 2011

Experimental Resultsofa Wind Energy Conversion Systemwith STATCOM Using Fuzzy Logic Controller

Wind Power Plants with VSC Based STATCOM in PSCAD/EMTDC Environment

Advance Electronic Load Controller for Micro Hydro Power Plant

Analysis of Grid Connected Solar Farm in ETAP Software

Simulation Modeling and Control of Hybrid Ac/Dc Microgrid

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

Targeted Application of STATCOM Technology in the Distribution Zone

China. Fig. 1 Chain SVG Electrical Diagram

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

CONTROL AND PERFORMANCE OF A DOUBLY-FED INDUCTION MACHINE FOR WIND TURBINE SYSTEMS

APPLICATION OF VARIABLE FREQUENCY TRANSFORMER (VFT) FOR INTEGRATION OF WIND ENERGY SYSTEM

International Conference on Advances in Energy and Environmental Science (ICAEES 2015)

CHAPTER 3 TRANSIENT STABILITY ENHANCEMENT IN A REAL TIME SYSTEM USING STATCOM

Load Frequency Control of a Two Area Power System with Electric Vehicle and PI Controller

CHAPTER 5 FAULT AND HARMONIC ANALYSIS USING PV ARRAY BASED STATCOM

TRANSIENT PERFORMANCE OF THREE PHASE INDUCTION MACHINE USING SYNCHRONOUSLY ROTATING REFERENCE FRAME

Integration of Large Wind Farms into Electric Grids

Development of Novel Connection Control Method for Small Scale Solar - Wind Hybrid Power Plant

EE 742 Chap. 7: Wind Power Generation. Y. Baghzouz

Intelligent Power Management of Electric Vehicle with Li-Ion Battery Sheng Chen 1,a, Chih-Chen Chen 2,b

Comparative Analysis of Integrating WECS with PMSG and DFIG Models connected to Power Grid Pertaining to Different Faults

STUDY ON MAXIMUM POWER EXTRACTION CONTROL FOR PMSG BASED WIND ENERGY CONVERSION SYSTEM

Management of Congestion in the Deregulated Energy Market

Voltage Control Strategies for Distributed Generation

Design and Implementation of an 11-Level Inverter with FACTS Capability for Distributed Energy Systems

A New Control Algorithm for Doubly Fed Induction Motor with Inverters Supplied by a PV and Battery Operating in Constant Torque Region

IMPROVEMENT OF LOADABILITY IN DISTRIBUTION SYSTEM USING GENETIC ALGORITHM

A Review on Reactive Power Compensation Technologies

The evaluation of endurance running tests of the fuel cells and battery hybrid test railway train

International Journal Of Global Innovations -Vol.2, Issue.I Paper Id: SP-V2-I1-048 ISSN Online:

Statcom Operation for Wind Power Generator with Improved Transient Stability

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

Asian Journal on Energy and Environment ISSN Available online at

Computer Aided Transient Stability Analysis

Maintaining Voltage Stability in Power System using FACTS Devices

Power Flow Control through Transmission Line with UPFC to Mitigate Contingency

Design and Control of Lab-Scale Variable Speed Wind Turbine Simulator using DFIG. Seung-Ho Song, Ji-Hoon Im, Hyeong-Jin Choi, Tae-Hyeong Kim

Power Consump-on Management and Control for Peak Load Reduc-on in Smart Grids Using UPFC

COMPARISON BETWEEN ISOLATED AND GRID CONNECTED DFIG WIND TURBINE

DG system integration in distribution networks. The transition from passive to active grids

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

A STUDY ON ENERGY MANAGEMENT SYSTEM FOR STABLE OPERATION OF ISOLATED MICROGRID

Power Quality Solutions STATCOM, 100kVAr to 30MVAr Dynamic reactive power compensation

Electric Transportation and Energy Storage

Study of DFIG based Wind Turbine for Reactive Power Generation Capability

VOLTAGE STABILITY IMPROVEMENT IN POWER SYSTEM BY USING STATCOM

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

Neural network based control of Doubly Fed Induction Generator in wind power generation.

International Journal of Scientific & Engineering Research, Volume 7, Issue 6, June ISSN

Possibilities of Distributed Generation Simulations Using by MATLAB

Overview of Flexible AC Transmission Systems

THE IMPORTANCE OF INTEGRATING SYNCHRONOUS COMPENSATOR STATCOM IN WIND POWER PLANT CONNECTED INTO THE MEDIUM VOLTAGE GRID

A Variable Speed Wind Generation System Based on Doubly Fed Induction Generator

Utilizing Electric Vehicles on Primary Frequency Control in Smart power Grids

Analysis and Design of Improved Isolated Bidirectional Fullbridge DC-DC Converter for Hybrid Electric Vehicle

Power Flow Simulation of a 6-Bus Wind Connected System and Voltage Stability Analysis by Using STATCOM

Wind-Turbine Asynchronous Generator Synchronous Condenser with Excitation in Isolated Network

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

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

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

1 Introduction

Dynamic Control of Grid Assets

Intelligent Control Algorithm for Distributed Battery Energy Storage Systems

Transient Stability Improvement of Squirrel Cage Induction Wind Turbine Generator using Plugging Mode

Full-Scale Medium-Voltage Converters for Wind Power Generators up to 7 MVA

Smart Grids and Integration of Renewable Energies

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

Impact of electric vehicles on the IEEE 34 node distribution infrastructure

Inverter with MPPT and Suppressed Leakage Current

A flywheel energy storage system for an isolated micro-grid

Implementation of Bidirectional DC-DC converter for Power Management in Hybrid Energy Sources

Power Electronics Projects

Transcription:

Journal of Scientific Research and Development 2 (3): 210-215, 2015 Available online at www.jsrad.org ISSN 1115-7569 2015 JSRAD Reactive power support of smart distribution grids using optimal management of charging parking of PHEV Omid Rahat 1,*, Eiman Riazy Department of Electrical Engineering, Ramhormoz Branch, Islamic Azad University Ramhormoz, Iran Abstract: Due to the extensive influence of hybrid vehicles in recent years, the presence of these components as a part of a smart distribution network seems inevitable. Plug-in Electric Vehicles (PEV) participates in electric power transmission to the network in certain hours of a day within a smart distribution network framework. The major PEV's feature is to reinforce the reactive power of the smart distribution system of the power supply. However, utilizing PEVs under any circumstances cannot have positive effects. For example, unscheduled and random charging may cause voltage fluctuations, increased blackouts due to network overload, very large peaks in power consumption thus deteriorating the reactive power. Therefore, this article examines the reactive power reinforcement in distribution networks as well as alleviating sever voltage fluctuations and overload by adjusting EVs charging. It is shown that a proper strategy for Smart Parks, like STATCOM, can be employed to properly compensate the reactive power and eliminate the voltage fluctuations. Key words: Reactive power support; PHEV; plug-in; smart charging parking 1. Introduction * Due to the increasing tendency to EVs, it is anticipated that a large number of EVs will be used in next few years. The Electric Power Research Institute (EPRI) has stated that by 2050 up to 62% of the transportation system in United States will belong to PHEVs (Mallette and Venkataramanan, 2010). Since these vehicles require batteries with highcapacity energy storage, uncoordinated and unplanned recharge of batteries on a large scale imposes a large load on the system. Thus, application of EVs has a large influence on the load curve, performance and design of power system (Mohammad and Hajforoosh; 2011- Kempton and Tomi, 2005). One way to reduce the negative effect of the vehicle battery is charge management; i.e. plug-in batteries in low-load hours. Connecting the battery to EV at peak times to transmit electric power to the network can also have positive effects, such as reactive power reinforcement. Studies conducted on drivers' behavior have shown that they park their cars 22 hours a day (Emadi and Joo Lee, 2008). For EVs, a long park time makes the energy in the batteries unused. If these vehicles can be connected to V2G network, the energy stored in batteries can be used to provide ancillary services such as reducing the peak power and network reactive power reinforcement (Kramer, Chakraborty and Kroposki, 2008). * Corresponding Author. Therefore, for successful implementation of EVs interacts with the electricity distribution network some issues must be specified including time and number of EVs participating in plan, and charge and discharge time and location. With the increasing number of vehicles, charging management control systems become more complex. This is where the need to optimal planning and management of EVs charging in the smart network to fulfill the objectives such as network reactive power reinforcement is more evident. Charge adjusting can be done remotely to shift the demand to low-load periods thus avoiding larger peaks in power consumption. Smart network technology, which is currently being developing, is seeking for power network modernization to deal with the increasing energy demand in the future. Although smart networks details and standards should be finalized, it is clear that a high-speed twoway communication network is essential. This provides a general framework for fast monitoring and control of transmission, distribution, and end consumers for effective coordination and utilization of existing energy sources (Mohammad and Hajforoosh, 2011). 2. Smart park model The Smart Park model discussed in this paper is shown in Fig. 1 as a battery with a bi-directional three-phase inverter. The inverter generates a 208rms three-phase voltage (line to line) passing through a 208V/22KV multiplier and then connecting to the Smart Park bus. A small inductance (0.5mH) is mounted between the converter and 210

transformer. Smart Park controls (inverters) are designed so as to be able to exchange the 30 MW power with the network. Since the average power exchange in EVs is about ±30 kw, each Smart Park is considered containing approximately 1,000 EVs to supply the 30MV power. Fig. 1: PEV as a dc voltage source and inverter 2. Control strategy for Smart Parks is shown in Fig. Fig. 2: current Control strategy for Smart Parks (reactive power control) In d-g reference frame, the outpour active and reactive power of the inverter is as follows (Krause et al., 2002): =. +. P: Output active power of the inverter (1) = (. +. ) Q: Output reactive power of the inverter (2) In a synchronous rotating reference frame, the line-to-neutral voltage falls on q axis and is v ds = 0. Therefore, the function of control system is to command the currents corresponding to the reference power which can be expressed as follows: = + ( ) i* qs: reference current in q reference frame (3) i = + (Q Q) i* ds: reference current in d reference frame (4) The first term in Eq. 3 and 4 are based on Eq.1 and 2 from power equations. v peak is the filtered lineto-neutral peak voltage. This term causes rapid response to sudden changes in the demand power. So, the integral term will eliminate the steady-state error. As shown in Fig. 2, a constraint is set on the command current to prevent large currents flowing in the inverter and battery during network transmissions. When employing the Smart Park in the voltagecontrol mode, an additional voltage-control loop is used in control strategy which is like a personal car inverter. In the voltage-control mode, the rms voltage of the bus is first compared with the reference voltage; the error is then passed through a PI controller to send the reactive power command to Smart Park. 3. The studied power system 211

Single-line diagram of the discussed power network is shown in Fig. 3. Fig. 3: Single-line diagram of the discussed power network The 12-bus network (six 230kV, tow 345kV, and four 22kV buses) are working at a frequency of 60 Hz. The test network covers three geographical regions (Zones I, II, and III). Zone I generally consists of water generators. Zone II is considered as a transition system between the sources mounted at zone I and the load (zone III). Some sources are also mounted in the load zone. However, they lack enough capacity to supply the load. Zone II has also a limited capacity to generate energy. The generated energy must pass through the 230kV transmission network. Apart from the connection between zones I and III which is modeled by a 345kV transmission line between buses 7 and 8 (Jiang et al., 2006) zones II and III use parallel capacitors to preserve the voltage. In order to accurately compensate the reactive power of the network, 10 Smart Park units (PL1 to PL10) are integrated in the bus 4 (Jiang et al., 2006). Normally, bus 4 has the least voltage. Result of voltage-control obtained from this set is compared with results from the STATCOM mounted in the system. To control STATCOM, the reference strategy (Qiao et al., 2009) is applied. 4. Simulation Here, the results of two case studies are presented. In the first one, the voltage of bus 9 is changed and the voltage regulations by Smart Park and STATCOM in bus 4 (the weak bus in the network) are compared and evaluated. In the second case study, a three-phase short circuit happens in bus 6 then the voltage controls and reactive power compensations by Smart Park and STATCOM on bus 4 are compared. 4.1. Voltage control The Smart Park's performance in voltage control when connected to bus 4 is compared with a STATCOM (Fig. 5). The voltage of G1infinite bus changes as shown in Fig. 4. Without compensation, reactive power of bus voltage has sever fluctuations. To eliminate the fluctuations, Smart Parks are connected to bus 4. A similar experiment was performed with a STATCOM with a power of 300 MVAR and the performances are compared. Fig. 5 shows the voltage range for bus 4. As obvious, Smart Parks act almost similar to a real STATCOM with 300MVAR power. Fig. 6 compares the reactive power injection for ten Smart Parks with STATCOM. As shown in the above figures, in voltage-control study, a similar reactive power is injected or absorbed. Fig. 5 and Fig. 6 suggest that for load control in a power system, Smart Park inexpensive systems can act as expensive FACTS devices. 4.2 Voltage control through a three-phase to earth fault In this study, a three-phase to earth fault is applied on bus 6 for 4 cycles. In case no compensation is done, voltage fluctuations are first sever in bus 4 and then slowly alleviate after a long time. Fig. 8 shows the reactive power injection of STATCOM during the compensation. As seen in Fig. 7, Smart Parks has a good performance just like STATCOM in compensation of reactive power and eliminating the voltage fluctuation. Fig. 9 shows the injection power of Smart Parks. As you can see, the reactive power injections for STATCOM and Smart Park are similar. 5. Discussion Using the strategies applied to utilize the power lies in the smart parks of EVs, the reactive power can 212

be compensated without installing expensive FACTS devices. In a smart network, the information exchange capabilities can be employed to avoid overloads due to uncoordinated vehicle charging. Hybrid electric vehicles and Smart Parks are used not only to supply the network but can prevent the pollutions caused by common vehicles with the support of government. With the development of Smart Parks all over the city, the energy contained in Smart Parks can be used anywhere in the network. Fig. 4: The G1infinite bus voltage range changes Fig. 5: Performance of STATCOM and Smart Park in bus 4 voltage control Fig. 6: reactive power of STATCOM and Smart park 213

Fig. 7: Results of STATCOM and Smart Park performance in voltage control for bus 4 Fig. 8: Reactive power injection of STATCOM during three-phase to earth fault Fig. 9: Reactive power injection of Smart Park during three-phase to earth fault Acknowledgements Funding support of this research was provided by the Ramhormoz Branch, Islamic Azad University, Ramhormoz, Iran. Moreover, this paper was derived from a research project named Reactive power support of smart distribution grids using optimal management of charging parking of PHEV. References Emadi A, Young Joo L and Rajashekara K (2008). Power Electronics and Motor Drives in Electric, Hybrid Electric, and Plug-In Hybrid Electric Vehicles. IEEE Transactions on Industrial Electronics, 55, 2237 2245. Jiang S, Annakkage UD and Gole Am (2006). A platform for validation of FACTS models. IEEE Trans. Power Del., 21, 484 491. Kramer B, Chakraborty S and Kroposki B (2008). A review of plug-in vehicles and vehicle-togrid 214

capability. 34th Annual Conference of IEEE Industrial Electronics, IECON 2278 2283. Krause PC, Wasynczuk O and Sudhoff SD (2002). Analysis of Electric Machinery and Drive Systems. New York: IEEE Press. Mallette M and Venkataramanan G (2010). The Role of Plug-In Hybrid Electric Vehicles in Demand Response and Beyond. Transmission and Distribution Conference IEEE. Mohammad A and Hajforoosh S ( 2011). Distribution Transformer Stress in Smart Grid with Coordinated Charging of Plug-In Electric Vehicles. IEEE Transactions on Power Systems, 25, 371-380. Qiao W, Venayagamoorthy GK and Harley R G (2009). Real-time implementation of a STATCOM on a wind farm equipped with doubly fed induction generators. IEEE Trans. Ind. Appl., 45(1), 98 107. Willett K and Jasna T (2005). Vehicle-to-grid power implementation: From stabilizing the grid to supporting large-scale renewable energy, Journal of Power Sources, 144(1), 280-294. 215