Potential impact of recharging plug‐in hybrid electric vehicles on locational marginal prices

Plug‐in hybrid electric vehicles (PHEVs), upon market penetration, will create additional recharging loads to the electric power systems. This article considers different recharging scenarios and uses game theoretic models to study the potential impact of the recharging loads on locational marginal prices (wholesale electricity prices). Computational results from a Pennsylvania‐New Jersey‐Maryland Interconnection case study show that, under the existing recharging infrastructures, even a small magnitude of load increase caused by PHEV recharging could have a significant undesirable impact on locational marginal prices. The impact could be mitigated to a varying extent by the availability of possible future recharging infrastructures, including realtime pricing recharging meters, battery stations, or vehicle‐to‐grid technology.© 2010 Wiley Periodicals, Inc. Naval Research Logistics, 2010

[1]  Arun P. Sanghvi,et al.  Flexible Strategies for Load/Demand Management Using Dynamic Pricing , 1989, IEEE Power Engineering Review.

[2]  Tony Markel,et al.  Cost-Benefit Analysis of Plug-In Hybrid Electric Vehicle Technology , 2007 .

[3]  J. McCalley,et al.  A Multiperiod Generalized Network Flow Model of the U.S. Integrated Energy System: Part II—Simulation Results , 2007, IEEE Transactions on Power Systems.

[4]  Kevin P. Schneider,et al.  Impacts Assessment of Plug-in Hybrid Vehicles on Electric Utilities and Regional US Power Grids: Part 1: Technical Analysis , 2007 .

[5]  W. Short,et al.  Evaluation of Utility System Impacts and Benefits of Optimally Dispatched Plug-In Hybrid Electric Vehicles (Revised) , 2006 .

[6]  Hamish Fraser The Importance of an Active Demand Side in the Electricity Industry , 2001 .

[7]  Kay L. Gehring Can Yesterday’s Demand-Side Management Lessons Become Tomorrow’s Market Solutions? , 2002 .

[8]  Bethany L. Nicholson,et al.  Mathematical Programs with Equilibrium Constraints , 2021, Pyomo — Optimization Modeling in Python.

[9]  S. Dirkse,et al.  The path solver: a nommonotone stabilization scheme for mixed complementarity problems , 1995 .

[10]  Jorge Valenzuela,et al.  Oligopoly models for market price of electricity under demand uncertainty and unit reliability , 2007, Eur. J. Oper. Res..

[11]  Daniel Ralph,et al.  Smooth SQP Methods for Mathematical Programs with Nonlinear Complementarity Constraints , 1999, SIAM J. Optim..

[12]  Masao Fukushima,et al.  An Implementable Active-Set Algorithm for Computing a B-Stationary Point of a Mathematical Program with Linear Complementarity Constraints , 2002, SIAM J. Optim..

[13]  Nelson M. Isada Effects of speed and camber on the ride behavior of a rapid transit vehicle traversing a dynamic roadway , 1968 .

[14]  H. Chao Price-Responsive Demand Management for a Smart Grid World , 2010 .

[15]  D. B. Elliott,et al.  Economic Assessment And Impacts Assessment Of Plug-In Hybrid Vehicles On Electric Utilities And Regional U.S. Power Grids , 2007 .

[16]  J. McCalley,et al.  A Multiperiod Generalized Network Flow Model of the U.S. Integrated Energy System: Part I—Model Description , 2007, IEEE Transactions on Power Systems.

[17]  F. Schweppe Spot Pricing of Electricity , 1988 .

[18]  A. Somani,et al.  National Energy and Transportation Systems: Interdependencies within a Long Term Planning Model , 2008, 2008 IEEE Energy 2030 Conference.

[19]  Chi-Keung Woo,et al.  Case study: Targeting demand‐side management for electricity transmission and distribution benefits , 1994 .

[20]  Jian Yao,et al.  Modeling and Computing Two-Settlement Oligopolistic Equilibrium in a Congested Electricity Network , 2006, Oper. Res..

[21]  M. Fels,et al.  MEASUREMENT OF ENERGY SAVINGS FROM DEMAND-SIDE MANAGEMENT PROGRAMS IN US ELECTRIC UTILITIES ! , 1993 .

[22]  Jonathan Kulick,et al.  Demand-Side Management and Energy Efficiency in the United States , 2004 .

[23]  B. Hobbs,et al.  An oligopolistic power market model with tradable NO/sub x/ permits , 2005, IEEE Transactions on Power Systems.

[24]  James Bushnell,et al.  Market Power in Electricity Markets: Beyond Concentration Measures , 1999 .

[25]  Tony Markel,et al.  Costs and Emissions Associated with Plug-In Hybrid Electric Vehicle Charging in the Xcel Energy Colorado Service Territory , 2007 .

[26]  M. Fels,et al.  Savings from Demand-Side Management Programs in US Electric Utilities , 1993 .

[27]  Stanton W. Hadley,et al.  Potential Impacts of Plug-in Hybrid Electric Vehicles on Regional Power Generation , 2009 .

[28]  W. Hogan Markets in Real Electric Networks Require Reactive Prices , 1993 .

[29]  Thomas J. Overbye,et al.  A comparison of the AC and DC power flow models for LMP calculations , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

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

[31]  Thomas S Turrentine,et al.  Driving Plug-In Hybrid Electric Vehicles: Reports from U.S. Drivers of HEVs converted to PHEVs, circa 2006-07 , 2008 .

[32]  Marcel Didden,et al.  Demand Side Management in a competitive European market: Who should be responsible for its implementation? , 2003 .

[33]  Willett Kempton,et al.  ELECTRIC VEHICLES AS A NEW POWER SOURCE FOR ELECTRIC UTILITIES , 1997 .

[34]  Richard D. Tabors,et al.  Optimal demand-side response to electricity spot prices for storage-type customers , 1989 .

[35]  J. Pang,et al.  Oligopolistic Competition in Power Networks: A Conjectured Supply Function Approach , 2002, IEEE Power Engineering Review.

[36]  Frank A. Wolak,et al.  Measuring Unilateral Market Power in Wholesale Electricity Markets: The California Market, 1998-2000 , 2003 .

[37]  Paul Denholm,et al.  Emissions impacts and benefits of plug-in hybrid electric vehicles and vehicle-to-grid services. , 2009, Environmental science & technology.

[38]  Benjamin F. Hobbs,et al.  Network-constrained Cournot models of liberalized electricity markets: the devil is in the details , 2005 .

[39]  C. Woo,et al.  Now that California has AMI, what can the state do with it? , 2008 .

[40]  J. Pang,et al.  Strategic gaming analysis for electric power systems: an MPEC approach , 2000 .

[41]  M. Mazumdar,et al.  Using a System Model to Decompose the Effects of Influential Factors on Locational Marginal Prices , 2007, IEEE Transactions on Power Systems.

[42]  Sherry Boschert Plug-in Hybrids: The Cars that will Recharge America , 2006 .

[43]  Stanton W. Hadley,et al.  Impact of Plug-in Hybrid Vehicles on the Electric Grid , 2006 .