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Study on voltage coordination optimization of microgrid with electric vehicle load response
  • +2
  • Zhengjie Luo,
  • Hui Ren,
  • Guoyu Xin,
  • Mingkuo Xu,
  • Fei Wang
Zhengjie Luo
North China Electric Power University - Baoding Campus
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Hui Ren
North China Electric Power University - Baoding Campus

Corresponding Author:[email protected]

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Guoyu Xin
State Grid Hebei Electric Power Company
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Mingkuo Xu
North China Electric Power University - Baoding Campus
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Fei Wang
North China Electric Power University
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The aggregation of the remaining battery capacity of EVs can be used as distributed energy storage to participate in electricity market auxiliary services in the form of V2G, however, their reliability is affected by the uncertainty of EV travel. In this paper, we consider the uncertainty of EV load response and propose a resolution method for quantifying the reliability of EV aggregation capacity in the day-ahead market. The paper first classifies EV users by analyzing historical charging data. Secondly, based on the composite Poisson process, the V2G capacity and reliability model for the aggregator’s participation in the day-ahead auxiliary service bidding are proposed and validated using actual data. Based on this model, aggregators can decide the power of V2G bidding for any time slot on day t+1 according to the reliability requirements of the standby market for the standby capacity contracted before that day. Finally, this paper organically combines PV and EV aggregators in the microgrid and uses genetic algorithms to optimize the simulation of the microgrid voltage operation state under different scenarios in the IEEE 33-node system. The results show the effectiveness of the coordinated optimization scheme of PV and EV clusters for the optimization of microgrid voltage.
31 Mar 2023Submitted to IET Generation, Transmission & Distribution
06 Apr 2023Submission Checks Completed
06 Apr 2023Assigned to Editor
24 Apr 2023Reviewer(s) Assigned
10 Jun 2023Editorial Decision: Revise Major
27 Jul 20231st Revision Received
07 Aug 2023Submission Checks Completed
07 Aug 2023Assigned to Editor
07 Aug 2023Reviewer(s) Assigned
16 Aug 2023Review(s) Completed, Editorial Evaluation Pending
07 Sep 2023Editorial Decision: Revise Major