Congestion Management Model for Competitive Charging of Electric Vehicles Under Dynamic Electricity Price Mechanism

被引:0
|
作者
Wang Y.
Wang X. [1 ]
Huang J. [1 ]
Li K. [1 ]
Huang Y. [3 ]
Fan J. [2 ]
机构
[1] School of Electrical Engineering, Xi'an Jiaotong University, Xi'an
[2] Northwest Branch of State Grid Corporation of China, Xi'an
[3] State Grid Shanghai Electric Power Company, Shanghai
关键词
charging; congestion management; dynamic electricity price; electric vehicle; game model;
D O I
10.7500/AEPS20220507006
中图分类号
学科分类号
摘要
Aiming at the power grid security problems caused by the competitive charging behavior of large-scale electric vehicles under the dynamic electricity price mechanism, a congestion management model of electric vehicle aggregator considering power grid security constraints is proposed. Firstly, the lossless linearization model of distribution network and the cluster model of the electric vehicle aggregator are established. Secondly, a competitive game model among electric vehicle aggregators considering power grid security constraints is proposed under the dynamic electricity price mechanism. Thirdly, the existence of equilibrium solution and the uniqueness of variational decomposition of the game model are proven based on the theory of variational inequality. Finally, the gradient descent algorithm and the proximal decomposition algorithm are used to solve the proposed game model. Numerical results show that the proposed model can ensure the power grid security when large-scale electric vehicles are competing for charging. © 2023 Automation of Electric Power Systems Press. All rights reserved.
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页码:103 / 110
页数:7
相关论文
共 20 条
  • [11] MEI S., Charging strategies of EV aggregator under renewable generation and congestion:a normalized Nash equilibrium approach[J], IEEE Transactions on Smart Grid, 7, 3, pp. 1630-1641, (2016)
  • [12] WAN Y,, QIN J, Et al., Game theoretic-based distributed charging strategy for PEVs in a smart charging station[J], IEEE Transactions on Smart Grid, 12, 1, pp. 538-547, (2021)
  • [13] LI C,, XU Y,, Et al., Noncooperative game-based distributed charging control for plug-in electric vehicles in distribution networks[J], IEEE Transactions on Industrial Informatics, 14, 1, pp. 301-310, (2018)
  • [14] WU F., Network reconfiguration in distribution systems for loss reduction and load balancing [J], IEEE Transactions on Power Delivery, 4, 2, pp. 1401-1407, (1989)
  • [15] GONZALEZ V G,, ANDERSSON M., Optimal bidding strategy of a plug-in electric vehicle aggregator in day-ahead electricity markets under uncertainty[J], IEEE Transactions on Power Systems, 30, 5, pp. 2375-2385, (2015)
  • [16] BAHRAMI S,, TOULABI M,, RANJBAR S,, Et al., A decentralized energy management framework for energy hubs in dynamic pricing markets[J], IEEE Transactions on Smart Grid, 9, 6, pp. 6780-6792, (2018)
  • [17] KANZOW C., Generalized Nash equilibrium problems[J], Annals of Operations Research, 175, pp. 177-211, (2010)
  • [18] PALOMAR D P,, FACCHINEI F,, Et al., Monotone games for cognitive radio systems[M], pp. 83-112, (2012)
  • [19] PANG J S., Finite-dimensional variational inequalities and complementarity problem[M], (2003)
  • [20] ZIMMERMAN R D,, MURILLO-SANCHEZ C E, THOMAS R J., MATPOWER: steady-state operations,planning,and analysis tools for power systems research and education[J], IEEE Transactions on Power Systems, 26, 1, pp. 12-19, (2011)