Impact of Energy Management of Electric Vehicles on Transient Voltage Stability of Microgrid

There is cause and effect relationship between increase in load due to increasing penetration of electric vehicles (EV) load that causes unbalanced conditions and affect the power quality such as voltage degradation and even damage the equipment if the system is not properly managed. This paper presents detailed review of energy supply and management in conjunction with load synchronization through EVs for maintaining transient voltage stability by providing reactive power support for the stability of power grid in vehicle-to-grid mode of operations. The energy management system is considered at different levels such as, stand-alone PV, stand-alone wind, stand-alone battery storage, stand-alone EV parking lot, residential feeder and commercial building feeders. First we proposed energy management algorithm, to limit the peak power drawn by EVs from distributed energy resources of microgrid, such that additional electrical resource will be transferred to resource constrained devices. The EVs negotiate based on their demand, priority and available electrical resource such that during higher electricity price the higher priority vehicles still require resource and perform uninterrupted operation. The transfer of electrical resource from one load device to another will help in reducing peak demand and improving the efficiency of the system. Secondly we proposed transient voltage stability margin index (TVSMI) to test the capability of EVs in contributing storage and supply services to the grid. The energy management control simulations are realized in DIgSILENT Power factory.

[1]  G. A. Putrus,et al.  Impact of electric vehicles on power distribution networks , 2009, 2009 IEEE Vehicle Power and Propulsion Conference.

[2]  N.N. Schulz,et al.  Multi-Agent System for Islanded Operation of Distribution Systems , 2006, 2006 IEEE PES Power Systems Conference and Exposition.

[3]  Wei Zhang,et al.  Stability of networked control systems , 2001 .

[4]  Wei Zhang,et al.  Stability of networked control systems: explicit analysis of delay , 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).

[5]  G. Andersson,et al.  Demand Management of Grid Connected Plug-In Hybrid Electric Vehicles (PHEV) , 2008, 2008 IEEE Energy 2030 Conference.

[6]  Thomas J. Overbye,et al.  An Authenticated Control Framework for Distributed Voltage Support on the Smart Grid , 2010, IEEE Transactions on Smart Grid.

[7]  Willett Kempton,et al.  Using fleets of electric-drive vehicles for grid support , 2007 .

[8]  L. Mili,et al.  Power System Stability Agents Using Robust Wide-Area Control , 2002, IEEE Power Engineering Review.

[9]  Tony Markel,et al.  Communication and control of electric drive vehicles supporting renewables , 2009, 2009 IEEE Vehicle Power and Propulsion Conference.

[10]  Willett Kempton,et al.  Vehicle-to-grid power fundamentals: Calculating capacity and net revenue , 2005 .

[11]  Hiroshi Sasaki,et al.  A multiagent approach to distribution system restoration , 2003, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).

[12]  K. Schneider,et al.  Impact assessment of plug-in hybrid vehicles on pacific northwest distribution systems , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[13]  Kenneth E. Martin,et al.  WACS-Wide-Area Stability and Voltage Control System: R&D and Online Demonstration , 2005, Proceedings of the IEEE.

[14]  Ganesh K. Venayagamoorthy,et al.  Real-time implementation of a measurement-based adaptive wide-area control system considering communication delays , 2008 .

[15]  Hu Zechun,et al.  Present Status and Development Trend of Batteries for Electric Vehicles , 2011 .

[16]  David L. Waltz,et al.  Vehicle Electrification: Status and Issues , 2011, Proceedings of the IEEE.

[17]  Muhammad Shoaib Khalid,et al.  System Modeling and Simulation of Intentionally Islanded Reconfigurable Microgrid , 2014 .

[18]  Salman Mohagheghi,et al.  Optimal wide area controller and state predictor for a power system , 2008, PES 2008.

[19]  Willett Kempton,et al.  Vehicle-to-grid power implementation: From stabilizing the grid to supporting large-scale renewable energy , 2005 .

[20]  Theodore Wildi,et al.  Electrical Machines, Drives, and Power Systems , 1990 .

[21]  Akihiko Yokoyama,et al.  Autonomous Distributed V2G (Vehicle-to-Grid) Satisfying Scheduled Charging , 2012, IEEE Transactions on Smart Grid.

[22]  NICHOLAS R. JENNINGS,et al.  An agent-based approach for building complex software systems , 2001, CACM.

[23]  Sanjay Shakkottai,et al.  TCP performance over end-to-end rate control and stochastic available capacity , 2001, TNET.

[24]  Hong-Hee Lee,et al.  IEC61850 Based Operation, Control and Management of Utility Connected Microgrid Using Wireless Technology , 2012, ICIC.

[25]  J.R. Hartman,et al.  Time-dependent dynamics in networked sensing and control , 2005, Proceedings of the 2005, American Control Conference, 2005..

[26]  Damian Flynn,et al.  Impact assessment of varying penetrations of electric vehicles on low voltage distribution systems , 2010, IEEE PES General Meeting.

[27]  Eylem Ekici,et al.  PHEVs charging stations, communications, and control simulation in real time , 2011, 2011 IEEE Vehicle Power and Propulsion Conference.