TRANSNATIONAL ACCESS USER PROJECT FACT SHEET

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

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

FORECASTING AND CONTROL IN ENERGY SYSTEMS

A flywheel energy storage system for an isolated micro-grid

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

Farhana Shirin Lina BSC.(Electrical and Electronic) Memorial University of Newfoundland & Labrador

PV inverters in a High PV Penetration scenario Challenges and opportunities for smart technologies

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

Laboratory Scale Microgrid Test-Bed Hardware Implementation

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

NREL Microgrid Controller Innovation Challenge Event

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

Smart Grids: anticipated trends and policy directions

GRAND RENEWABLE ENERGY 2018

Impact of Plug-in Electric Vehicles on the Supply Grid

DERlab Facilities Advancing Smart Grids

A Comprehensive Study on Speed Control of DC Motor with Field and Armature Control R.Soundara Rajan Dy. General Manager, Bharat Dynamics Limited

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

Power Networks. Professor Graeme Burt Institute for Energy & Environment, University of Strathclyde

Grid Stability Analysis for High Penetration Solar Photovoltaics

Virtual Synchronous Machines for Supporting Flexible Operation of Distribution Systems

Performance of Batteries in Grid Connected Energy Storage Systems. June 2018

Design and Analysis of Hybrid Energy Storage System Supplied from Photovoltaic Power Source

Optimal and Modular Configuration of Wind Integrated Hybrid Power Plants for Off-Grid Systems

Presentation of the European Electricity Grid Initiative

Assessing Feeder Hosting Capacity for Distributed Generation Integration

DC Arc-Free Circuit Breaker for Utility-Grid Battery Storage System

Intelligent Control Algorithm for Distributed Battery Energy Storage Systems

Design of Active and Reactive Power Control of Grid Tied Photovoltaics

Autonomous Voltage and Frequency Control by Smart Inverters of Photovoltaic Generation and Electric Vehicle

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

UNC-Charlotte's Power Engineering Teaching lab

Energy Systems and Storage Integration R&D at NREL

SIRFN Capability Summary European Distributed Energy Resources Laboratories (DERlab) e. V.

Power Management Scheme of a Photovoltaic System for Self-Powered Internet of Things

Workshop on Design and Implementation of Power Converters with EMC/EMI Modelling for Micro Grid & Electric Vehicle Applications

Modelling of PV Array with MPP Tracking & Boost DC-DC Converter

RESILIENT SOLAR CASE STUDY: SUNY New Paltz NYPA Integrated Grid Pilot

Real-Time Simulation of A Modular Multilevel Converter Based Hybrid Energy Storage System

Small Scale-Wind Power Dispatchable Energy Source Modeling

Robust Control Technique for Grid-connected Power Conditioner

IJRASET 2013: All Rights are Reserved

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

Hardware Testing of Photovoltaic Inverter Loss of Mains Protection Performance

Use of Microgrids and DERs for black start and islanding operation

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

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

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

OPTIMUM ALLOCATION OF DISTRIBUTED GENERATION BY LOAD FLOW ANALYSIS METHOD: A CASE STUDY

The Norwegian Move to Smart Grid Opportunities and Challenges in a European Context

Improving Safety and Performance Testing for EV Batteries EVS November 2013

A simulation tool to design PV-diesel-battery systems with different dispatch strategies

ScienceDirect. Simulation and Testing of a Typical On-Board Charger for ITB Electric Vehicle Prototype Application

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

Technology from the New Product SANUPS K for a Smart Grid Society

RESEARCH PROJECT VERBUNDNETZSTABIL

Smart Grids and Mobility

Plenary Session 2. Regulatory aspects and market operations in smart grid environments

NORDAC 2014 Topic and no NORDAC

Available online at ScienceDirect. Procedia Technology 21 (2015 ) SMART GRID Technologies, August 6-8, 2015

Available online at ScienceDirect. Procedia Technology 25 (2016 )

Control System for a Diesel Generator and UPS

Battery-Ultracapacitor based Hybrid Energy System for Standalone power supply and Hybrid Electric Vehicles - Part I: Simulation and Economic Analysis

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

Developing tools to increase RES penetration in smart grids

Power Conditioning of Microgrids and Co-Generation Systems

EXPERIMENTAL VERIFICATION OF INDUCED VOLTAGE SELF- EXCITATION OF A SWITCHED RELUCTANCE GENERATOR

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

Mapping of Distributed Generation Pilot Installations: History - Examples - Conclusions

Real And Reactive Power Saving In Three Phase Induction Machine Using Star-Delta Switching Schemes

Real-Time Pricing and Energy Storage for Voltage Improvement in a Distribution Feeder

Dynamic Control of Grid Assets

INVESTIGATION AND PERFORMANCE ANALYSIS OF MULTI INPUT CONVERTER FOR THREE PHASE NON CONVENTIONAL ENERGY SOURCES FOR A THREE PHASE INDUCTION MOTOR

Optimal Placement of Distributed Generation for Voltage Stability Improvement and Loss Reduction in Distribution Network

Frequency and Voltage Control in Microgrids: Modeling and Simulations in Islanded Mode

Smart grids in European Union. Andrej GREBENC European Commission "Energy Awarness Seminar Villach

An Approach for Formation of Voltage Control Areas based on Voltage Stability Criterion

INTELLIGENT DC MICROGRID WITH SMART GRID COMMUNICATIONS: CONTROL STRATEGY CONSIDERATION AND DESIGN

Using Opal-RT Real-Time Simulation and HIL System in Power and Energy Systems Research

ROOFTOP SOLAR POWER PLANTS FOR ACADEMIC CAMPUSES

Global Standards Development:

Power Systems for GRID Simulation. Mahesh Thaker, Director of Engineering AMETEK Programmable Power / VTI Instruments

Simulation Modeling and Control of Hybrid Ac/Dc Microgrid

Impact of electric vehicles on the IEEE 34 node distribution infrastructure

PNM/EPRI Smart Grid Demonstration. Photovoltaics through Grid Automation, Energy Storage and Demand Response

The Use of Battery Systems to Address Power Grid Issues. Hiroshi Kuniyoshi

Renewable Sources Based Micro-Grid Control Schemes and Reliability Modeling

Train Group Control for Energy-Saving DC-Electric Railway Operation

MAT4BAT summer school Battery industry prospective in Europe and new technologies. C. Chanson

Peak power shaving using Vanadium Redox Flow Battery for large scale grid connected Solar PV power system

International Journal of Advance Engineering and Research Development. Demand Response Program considering availability of solar power

DC-GRIDS FOR ENABLING SMART GRIDS WITH DISTRIBUTED RESOURCES, DEMAND RESPONSE AND STORAGE FOR ELECTRICITY

Global EV Outlook 2017 Two million electric vehicles, and counting

Modelling and Control of Ultracapacitor based Bidirectional DC-DC converter systems PhD Scholar : Saichand K

Intelligent UPS System for Smart Grid to Achieve the Sustainable Energy

2015 Grid of the Future Symposium

Performance of Low Power Wind-Driven Wound Rotor Induction Generators using Matlab

Modeling and validation of a flywheel energy storage lab-setup

DC Microgrid Management Using Power Electronics Converters

D6.5 Public report on experience & results from FCEV city car demonstration in Oslo

Transcription:

TRANSNATIONAL ACCESS USER PROJECT FACT SHEET USER PROJECT Acronym REPRMs Title ERIGrid Reference 01.006-2016 TA Call No. 01 Reliability Enhancement in PV Rich Microgrids with Plug-in-Hybrid Electric Vehicles and Data Centres HOST RESEARCH INFRASTRUCTURE Name Country National Smart Grid Laboratory (NSGL), SINTEF Energy Research - Trondheim, Norway Norway Start date 28-May-2017 Nº of Access days 6 days End date 10-June-2017 Nº of Stay days 14 days USER GROUP Name (Leader) Organization (Leader) Country (Leader) Name Organization Country Dr. Chandrasekhar Yammani National Institute of Technology Warangal, Warangal, Telangana- 522034, India India Dr. Chandrasekhar Perumalla National Institute of Technology Warangal, Warangal, Telangana- 522034, India India ERIGrid TA User Project Fact Sheet_v01 1 of 7

1. USER PROJECT SUMMARY (objectives, set-up, methodology, approach, motivation) Motivation: Europian Union Energy Policy and the Indian National Electricity Policy of 2005 have emphasized the need of strengthening the regional power grids, power transmission and distribution networks, and the need to develop an emergency response system for power safety and reliability, and the necessity to reinforce the priority policies for generation of electrical energy from renewable sources. There are concentrated efforts in research, development, and demonstration (RD&D) currently in progress in Europe, the United States, Japan, Canada and in India on microgrids which are capable of providing quality power with imporoved reliability when compared with state-of-art power distribution systems. In this connection, there is a need to study and understand the reliability of the existing power distribution systems, thereby, identification of potentional threats which can affect the operation of the existing power grid systems. Objectives: This project proposes to achieve the following objectives. 1. To study the reliability of existing microgrid systems with photovoltaic (PV) generators, plug-in-hybrid vehicles (PHEVs) and data centres (DCs) 2. To enhance the reliability of microgrid through optimal integration of distributed generators (DGs) 3. To develop a methodology to emphasize the contribution of PHEVs and DCs in improving the reliability of microgrids with high PV penetration. Methodology& Approach: This project execution involves the following steps: a) Modelling, integration of DGs thereby realization of microgrid b) Develop/define reliability metrics/indices c) Reliability assessment in microgrid d) Finding optimal dispatch of DGs, PHEVs and DCS with the help of BA while minimizing the loss, and cost with improved reliability e) Experimental validation of dispatch schedule and their actual applicability in the system considered Optimal placement and sizing of the DGs with improved reliability are taken from the Bat optimization algorithm. From the results of optimization algorithm, the PV generator is decided to connect at bus number 9. Since the developed microgrid system is a virtual power system and is running in real time in Opal-RT system, all the three phase terminals of bus number 9 have been brought out for physical access. However, ERIGrid TA User Project Fact Sheet_v01 2 of 7

the terminals brought out from Opal-RT system are virtual terminals representing the original terminals. These terminals which are brought out for access are operating at low voltage (20V maximum) and cannot handle currents more than few milli amperes. On contrary, the DGs which are expected to connect to the virtual power system running in Opal-RT are real converters which are running at actual system voltage of 208V and are expected to deliver powers in the range of KW and KVAr. Hence, a grid emulator is employed to interface the actual DGs with the virtual bus from the Opal-RT. Due to the limitation in number of DGs that can interfaced with the grid emulator (6 output terminals), which is in-turn used to interface with the microgrid in Opal-RT system, the maximum number of DGs that can be interfaced are limited to two. Hence, in the later part of the experiment, two DGs are interfaced at bus number 9 and at bus number 5. The converter DG at bus number 9 is considered as PV generator while the DG interfaced at Bus number 5 is considered as PHEV/DC. Set-up: An experimental set-up has been made to validate the proposed solution which resulted in optimal schedules as calculated from Bat optimization algorithm, for the improvement of reliability in the considered European MV distribution system. The considered distribution system which is operating as microgrid in this study is modelled in Matlab- Simulink environment. The same system is synthesized in Opal-RT system shown in Figure.1. A grid emulator which is used to interface the real converter based DGs to the virtual microgrid system running in Opal-RT is shown in Fig.2 Interfacing Transformer Computer Interfaces Power/Voltage/Current Measurement Fluke DGs Power Electronic Converter Interfaces Opal-RT system Interface Fig.1. Experimental Set-up Part-1 ERIGrid TA User Project Fact Sheet_v01 3 of 7

Fig. 2 Experimental Set-up Part-2 (Grid Emulator) 2. MAIN ACHIEVEMENTS (results, conclusions, lessons learned) Results: The PV DG is connected at bus number 9, whereas PHEV/DC is connected at bus number 5, the concluded optimal locations for respective DGs. According the optimal scheduling DGs are controlled to deliver, 10KW at 0.9 pf lead by PV DG and the PHEV/DC is controlled to deliver 6KW at 0.9pf lead. In experiment-1, only one DG is connected and the power generation within the DG is only 10kW, where as in experiment-2, the generation within the sources is 10KW+6KW. Due to the increased generation within the microgrid, the power, hence the current drawn from slack has decreased which results in reduction of drops, therefore the increase of bus voltage from 192.4v to 194.2V as shown in Figs. 3 and 4. Fig. 3 RMS Line Voltage at bus number 11 ERIGrid TA User Project Fact Sheet_v01 4 of 7

Fig. 4 RMS Line Voltage at bus number 11 with two DGs It can be inferred that, in experiment-1, since only DG is there in the microgrid, the microgrid is drawing more current, (198A peak) from slack bus. However, in experiment-2, since two DGs are there within the microgrid, the current drawn from the microgrid has decreased from 198A peak to 191.5A peak which is clearly depicted in Figs. 5 and 6. Fig. 5 Zoomed-in instantaneous phase currents at bus number 1, Slack bus Fig.6 Zoomed-in instantaneous phase currents at bus number 1, Slack bus, with two DGs interface within the microgrid The actual currents, voltages at bus number 5 and the power fed by PHEV/DC at bus number 5 is shown in Fig. 7. ERIGrid TA User Project Fact Sheet_v01 5 of 7

(a) (b) (c) (d) (e) Fig. 7 Different electrical quantities at PHEV/DC bus (at bus number 5) (a). Instantaneous currents (b) Real and Reactive power feeding by PHEV/DC DG at bus number 5 (c) Instantaneous voltages (d) Phasor diagram of voltages and currents (e). THD in the current fed by PHEV/DC Conclusions: In the emerging trend of increasing renewable penetration, reliability plays a critical role for successful realization and operation of microgrids. In this connection, this project considered a European Medium Voltage distribution system with two different DGs, PV and PHEV/DC for the improvement of reliability. With an objective of improving the reliability of the considered microgrid system, an optimal DG schedules have been found using metaheuristic optimization algorithm known as bat algorithm. System loss, cost and voltage deviations have been minimized while finding the optimal DG schedules for improving the reliability. For the considered CIGRE distribution system, if no DG is added to the system, the ERI can be calculated as ERI=1-(44.39*0.015/44.39)= 0.985. Total system load is 44.39kW, 0.015 is FOR for Conventional Generation (grid). With Addition of 1DG with 10kW: ERI=1-((34.39*0.015)+(10*0.002)/44.39)=0.9879 With addition of 2DGs: ERI=1-((24.39*0.015)+(10*0.002)+(6*0.003)/44.39)=0.991 The optimal schedules calculated are validated for their practical feasibility through experimentation using the Power-hardware-in-loop with the help of Opal-RT system integrated with real power electronic converter ERIGrid TA User Project Fact Sheet_v01 6 of 7

based DGs and grid emulator based interface. After successful experimentation, the calculated schedules can be practically feasible and successful integration of DGs with scheduled power flows can be achieved to improve the reliability. 3. PLANNED DISSEMINATION OF RESULTS (journals, conferences, others) Planned to publish in Prestigious International/National Journals and Transactions like, IEEE Transactions, IET Proceedings, Elesevier/Science Direct Journals. ERIGrid TA User Project Fact Sheet_v01 7 of 7