Optimal Power Market Participation of Plug-In Electric Vehicles Pooled by Distribution Feeder

Electric-vehicle grid integration has the potential to stress distribution network equipment and increase peak consumption, unless properly managed. In this paper, we use dynamic programming to develop a decision support algorithm and market participation policy for a load aggregator (LA) managing the charging of plug-in electric vehicles (PEVs) connecting at the same distribution network feeder. The LA submits inflexible and flexible bids to a liberalized hour-ahead power market, while monitoring localized feeder and PEV rate constraints. Flexible bids, which include a bid price or utility, can be cleared as regulation service, cleared as energy, or rejected by the market operator. These market events are probabilistically included within the modeling framework. A case study, based on New York independent system operator data, found that the market participation policy may reduce daily electricity costs for PEVs significantly more than is expected through forecasted electricity-price-based scheduling.

[1]  Dick Duffey,et al.  Power Generation , 1932, Transactions of the American Institute of Electrical Engineers.

[2]  Allen J. Wood,et al.  Power Generation, Operation, and Control , 1984 .

[3]  Saifur Rahman,et al.  An investigation into the impact of electric vehicle load on the electric utility distribution system , 1993 .

[4]  G. Sheblé,et al.  Power generation operation and control — 2nd edition , 1996 .

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

[6]  E.A. DeMeo,et al.  Utility Wind Integration and Operating Impact State of the Art , 2007, IEEE Transactions on Power Systems.

[7]  N. P. Padhy,et al.  Cost-Benefit Reflective Distribution Charging Methodology , 2008, IEEE Transactions on Power Systems.

[8]  D. Kirschen,et al.  Quantifying the Effect of Demand Response on Electricity Markets , 2007, IEEE Transactions on Power Systems.

[9]  Jian Ma,et al.  Operational Impacts of Wind Generation on California Power Systems , 2009, IEEE Transactions on Power Systems.

[10]  Ian A. Hiskens,et al.  Decentralized charging control for large populations of plug-in electric vehicles , 2010, 49th IEEE Conference on Decision and Control (CDC).

[11]  Supporting information , 2010 .

[12]  Christoforos N. Hadjicostis,et al.  Coordination and Control of Distributed Energy Resources for Provision of Ancillary Services , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[13]  Sekyung Han,et al.  Development of an Optimal Vehicle-to-Grid Aggregator for Frequency Regulation , 2010, IEEE Transactions on Smart Grid.

[14]  Michael C. Caramanis,et al.  Coupling of day ahead and real-time power markets for energy and reserves incorporating local distribution network costs and congestion , 2010, 2010 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[15]  Ning Lu,et al.  Smart-grid security issues , 2010, IEEE Security & Privacy.

[16]  Michael C. Caramanis,et al.  Energy reserves and clearing in stochastic power markets: The case of plug-in-hybrid electric vehicle battery charging , 2010, 49th IEEE Conference on Decision and Control (CDC).

[17]  J. Driesen,et al.  The Impact of Charging Plug-In Hybrid Electric Vehicles on a Residential Distribution Grid , 2010, IEEE Transactions on Power Systems.

[18]  R. Walawalkar,et al.  Evolution and current status of demand response (DR) in electricity markets: Insights from PJM and NYISO , 2010 .

[19]  Ahmed Yousuf Saber,et al.  Efficient Utilization of Renewable Energy Sources by Gridable Vehicles in Cyber-Physical Energy Systems , 2010, IEEE Systems Journal.

[20]  Bruce H. Krogh,et al.  Wind Integration in Power Systems: Operational Challenges and Possible Solutions , 2011, Proceedings of the IEEE.

[21]  Mohamed A. El-Sharkawi,et al.  Optimal Charging Strategies for Unidirectional Vehicle-to-Grid , 2011, IEEE Transactions on Smart Grid.

[22]  Jay Apt,et al.  Net air emissions from electric vehicles: the effect of carbon price and charging strategies. , 2011, Environmental science & technology.

[23]  Michael C. Caramanis,et al.  Uniform and complex bids for demand response and wind generation scheduling in multi-period linked transmission and distribution markets , 2011, IEEE Conference on Decision and Control and European Control Conference.

[24]  M. Ilic,et al.  Optimal Charge Control of Plug-In Hybrid Electric Vehicles in Deregulated Electricity Markets , 2011, IEEE Transactions on Power Systems.

[25]  Filipe Joel Soares,et al.  Integration of Electric Vehicles in the Electric Power System , 2011, Proceedings of the IEEE.

[26]  K. Schittkowski,et al.  NONLINEAR PROGRAMMING , 2022 .