An efficient game for vehicle-to-grid coordination problems in smart grids

References

• Ahn, C., Li, C., & Peng, H. (2011). Optimal decentralized charging algorithm for electrified vehicles connected to smart grid. Journal of Power Sources, 196(1), 10369–10379.
   Web of Science ®Google Scholar
• Ausubel, L., & Cramton, P. (2002). Demand reduction and inefficiency in multi-unit auctions ( Working papers). College Park: University of Maryland.
   Google Scholar
• Baran, M., & Wu, F. (1989). Optimal sizing of capacitors placed on a radial distribution system. IEEE Transactions on Power Delivery, 4(1), 735–743.
   Web of Science ®Google Scholar
• Bashash, S., Moura, S., Forman, J., & Fathy, H. (2011). Plug-in hybrid electric vehicle charge pattern optimization for energy cost and battery longevity. Journal of Power Sources, 196(196), 541–549.
   Web of Science ®Google Scholar
• Boyd, S., & Vandenberghe, L. (2004). Convex optimization. Cambridge: Cambridge University Press.
   Google Scholar
• Callaway, D., & Hiskens, I. (2011). Achieving controllability of electric loads. In Proceedings of the IEEE, 99-1 (pp. 184–199). New York: IEEE.
   Google Scholar
• Clark, E.H. (1971). Multipart pricing of public goods. Public Choice, 11(1), 19–33.
   Google Scholar
• Cvetkovic, I., & Thacker, T. (2009). Future home uninterruptible renewable energy system with vehicle-to-grid technology. In Energy Conversion Congress and Exposition, 2009 (pp. 2675–2681). San Jose, CA.
   Google Scholar
• Denholm, P., & Short, W. (2006). An evaluation of utility system impacts and benefits of optimally dispatched plug-in hybrid electric vehicles ( Technical Report NREL/TP-620-40293). Washington, DC: National Renewable Energy Laboratory.
   Google Scholar
• Erol-Kantarci, M., & Mouftah, H. (2011). Management of PHEV batteries in the smart grid: Towards a cyber-physical power infrastructure. In Wireless Communications and Mobile Computing Conference (IWCMC) 2011 (pp. 795–800). Istanbul, Turkey.
   Google Scholar
• Federico, G., & Rahman, D. (2003). Bidding in an electricity pay-as-bid auction. Journal of Regulatory Economics, 24(2), 175–211.
   Web of Science ®Google Scholar
• Gallego, R., Monticelli, A., & Romero, R. (2001). Optimal capacitor placement in radial distribution networks. IEEE Transactions on Power Systems, 16(4), 630–637.
   Web of Science ®Google Scholar
• Gan, L., Topcu, U., & Low, S. (2012). Optimal decentralized protocol for electric vehicle charging. IEEE Transactions on Power Systems.
   Google Scholar
• Gao, Y., Gao, F., Zhai, Q., & Guan, X. (2013). Self-balancing dynamic scheduling of electrical energy for energy-intensive enterprises. International Journal of Systems Science, 44(6), 1006–1025.
   Web of Science ®Google Scholar
• Groves, T. (1973). Incentives in teams. Econometrica, 41(4), 617–631.
   Web of Science ®Google Scholar
• Huang, Y.C., Yang, H.T., & Huang, C.L. (1996). Solving the capacitor placement problem in a radial distribution system using tabu search approach. IEEE Transactions on Power Systems, 11(4), 1868–1873.
   Web of Science ®Google Scholar
• Hutson, C., Venayagamoorthy, G.K., & Corzine, K.A. (2008). Intelligent scheduling of hybrid and electric vehicle storage capacity in a parking lot for profit maximization in grid power transactions. In IEEE Energy 2030 (pp. 17–18). Atlanta, GA.
   Google Scholar
• Infield, D., Short, J., Home, C., & Freris, L. (2007). Potential for domestic dynamic demand-side management in the UK. In Power Engineering Society General Meeting 2007 (pp. 1–6). Tampa, FL.
   Google Scholar
• Jain, R., & Walrand, J. (2010). An efficient Nash-implementation mechanism for network resource allocation. Automatica, 46, 1276–1283.
   Web of Science ®Google Scholar
• Jang, S. (2010). Optimal decision on contract size for V2G aggregator regarding frequency regulation. In Optimization of Electrical and Electronic Equipment (OPTIM) (pp. 54–62). Basov.
   Google Scholar
• Jia, P., & Caines, P. (2010a). Analysis of a class of decentralized dynamical systems: Rapid convergence and efficiency of dynamical quantized auctions. IMA Journal of Mathematical Control and Information, 27(3), 329–372.
   Web of Science ®Google Scholar
• Jia, P., & Caines, P. (2010b). Analysis of decentralized decision processes in competitive markets: Quantized single and double-sided auctions. In 49th IEEE Conference on Decision and Control (pp. 237–243). Atlanta, GA.
   Google Scholar
• Jia, P., & Caines, P. (2010c). Analysis of quantized double auctions with application to competitive electricity markets. INFOR: Information Systems and Operational Research, 48(4), 239–250.
   Web of Science ®Google Scholar
• Jia, P., & Caines, P. (2013). Analysis of decentralized quantized auctions on cooperative networks. IEEE Transactions on Automatic Control, 58, 529–534.
   Web of Science ®Google Scholar
• Lazar, A., & Semret, N. (1998). The progressive second price auction mechanism for network resource sharing. In 8th International Symposium on Dynamic Games. Vaals-Maastricht, the Netherlands.
   Google Scholar
• Lazar, A.A., & Semret, N. (1999). Design and analysis of the progressive second price auction for network bandwidth sharing. Telecommunication Systems – Special Issue on Network Economics.
   Google Scholar
• Lemoine, D.M., Kammen, D.M., & Farrell, A.E. (2008). An innovation and policy agenda for commercially competitive plug-in hybrid electric vehicles. Environmental Research Letters, 3, 014003.
   Web of Science ®Google Scholar
• Luo, Z., Hu, Z., Song, Y., Xu, Z., & Lu, H. (2013a). Optimal coordination of plug-in electric vehicles in power grids with cost-benefit analysis – Part I: Enabling techniques. IEEE Transactions on Power Systems, 28(4), 3546–3555.
   Web of Science ®Google Scholar
• Luo, Z., Hu, Z., Song, Y., Xu, Z., & Lu, H. (2013b). Optimal coordination of plug-in electric vehicles in power grids with cost-benefit analysis — Part II: A case study in China. IEEE Transactions on Power Systems, 28(4), 3556–3565.
   Web of Science ®Google Scholar
• Orr, J., & Emanuel, A. (1982). Current harmonics generated by a cluster of electric vehicle battery chargers. IEEE Transactions on Power Apparatus and Systems, 101(3), 691–700.
   Web of Science ®Google Scholar
• Ota, Y., & Taniguchi, H. (2012). Autonomous distributed V2G (Vehicle-to-Grid) satisfying scheduled charging. IEEE Transactions on Smart Grid, 3(1), 559–564.
   Google Scholar
• Rahman, S., & Shrestha, G.B. (1993). An investigation into the impact of electric vehicle load on the electric utility distribution system. IEEE Transactions on Power Delivery, 8(2), 591–597.
   Web of Science ®Google Scholar
• Sekyung, H., Soohee, H., & Sezaki, K. (2010). Development of an optimal vehicle-to-grid aggregator for frequency regulation. IEEE Transactions on Smart Grid, 1(1), 65–72.
   Google Scholar
• Sundhararajan, S., & Pahwa, A. (1994). Optimal selection of capacitors for radial distribution systems using a genetic algorithm. IEEE Transactions on Power Systems, 9(3), 1499–1507.
   Web of Science ®Google Scholar
• Vallejo, D., Albusac, J., Glez-Morcillo, C., Castro-Schez, J., & Jimenez, L. (2014). A multi-agent approach to intelligent monitoring in smart grids. International Journal of Systems Science, 45(4), 756–777.
   Web of Science ®Google Scholar
• Vaya, M., & Andersson, G. (2012). Centralized and decentralized approaches to smart charging of plug-in Vehicles. In Power and Energy Society General Meeting 2012 (pp. 1–8). San Diego, CA.
   Google Scholar
• Vickrey, W. (1961). Counterspeculation, auctions, and competitive sealed tenders. The Journal of Finance, 16(1), 8–37.
   Web of Science ®Google Scholar
• Wen, F., & David, A.K. (2001). Optimal bidding strategies and modeling of imperfect information among competitive generators. IEEE Transactions on Power Systems, 16(1), 15–21.
   Web of Science ®Google Scholar
• Wu, C., Mohsenian-Rad, H., & Huang, J. (2012). Vehicle-to-aggregator interaction game. IEEE Transactions on Smart Grid, 3(1), 434–442.
   Web of Science ®Google Scholar
• Wu, C., Mohsenian-Rad, H., Huang, J., & Jatskevich, J. (2012). PEV-based combined frequency and voltage regulation for smart grid. In Innovative Smart Grid Technologies (ISGT) (pp. 1–6). Washington, DC.
   Google Scholar
• Xu, Z., Dong, Z., & Wong, K. (2004). Genetic algorithm-based spinning reserve dispatching in a competitive electricity market. International Journal of Systems Science, 35(13–14), 847–853.
   Web of Science ®Google Scholar
• Yang, S., & Hajek, E.B. (2007). VCG-Kelly mechanisms for allocation of divisible goods: Adapting VCG mechanisms to one-dimensional signals. Selected Areas in Communications, IEEE Journal, 25(6), 1237–1243.
   Web of Science ®Google Scholar