Generalized energy storage sharing and collaborative optimal scheduling of parklevel vritual power plants based on mixed game
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(1. Urumqi Power Supply Company, State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830011, China;2. State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830018, China;3. College of Electrical Engineering, Xinjiang University, Urumqi 830047, China)

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TM73;TK018

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    Abstract:

    The flow of virtual power plant(VPP)with generalized energy storage(GES)participating in dispatching optimization and power market as a“virtual”integrated entity is analyzed.A two-stage sharing strategy and a two-level coordinated optimal dispatching model of park-level VPP-GES based on hybrid game are proposed. First stage:according to the response characteristics of various energy storage resources in the park, a GES sharing model composed of actual energy storage, demand side flexible load and EV is established, and then the main structure of VPP aggregating multiple energy storage resources is constructed. Second stage:a two-tier hybrid game model with VPP operators as the upper leaders and park energy storage service providers, load aggregators and energy suppliers as the lower followers is established. The stackelberg game is used between the upper and lower levels to share and interact the purchase and sale price and GES, so as to ensure the win-win interests of leaders and followers. Cooperative game is adopted among the followers of the lower level to realize multi-agent real-time collaborative optimization. The example analysis shows that the proposed not only maximizes the prs.

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田壁源,常喜强,戚红燕,张新燕.基于混合博弈的园区虚拟电厂广义储能共享与协同优化调度[J].电力需求侧管理英文版,2023,25(4):08-14.

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History
  • Received:January 19,2023
  • Revised:April 26,2023
  • Adopted:
  • Online: August 24,2023
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