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168 / 2021-10-29 23:41:09
Virtual Power Plant Alliance Risk Mitigation Model and Bidding Optimization Strategy Considering the Uncertainty of Renewable Energy
distributed renewable energy, virtual power plant alliance, electricity market, Shapley value, distribution network.
Renewable energy system > Other topics in renewable energy
Final Paper
JIE YANG / Zhejiang University
YIHAO GUO / Zhejiang University
Chuangxin GUO / Zhejiang University
Zhe Chen / the Electric Power Research Institute of State Grid Zhejiang Electric Power Company
SHENGHAN WANG / Zhejiang University
The strong uncertainties of renewable energy restrict the market competitiveness, and the price signal is inefficient. However, the rapid increase in the number of distributed renewable energy (DRE), energy storage system (ESS) and interruptible loads has made the distribution network flexible and initiative. Therefore, this paper proposes a virtual power plant (VPP) aggregation model considering the complementation of distributed resources. A bidding strategy optimization model for VPP alliance to participate in two-stage electricity market and an economic profits sharing mechanism based on the Shapley value are constructed. The simulation results show that the proposed method can greatly mitigation the risk carried by high penetration of renewable energy and significantly improve the economic profits of VPP.

 
Important Date

  • Conference Date

    Jul 11

    2023

    to

    Aug 18

    2023

  • Nov 10 2021

    Draft paper submission deadline

  • Dec 10 2021

    Registration deadline

  • Dec 11 2021

    Contribution Submission Deadline

Sponsored By
IEEE IAS
Organized By
IEEE IAS Student Chapter of Southwest Jiaotong University (SWJTU)
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
IEEE PELS (Power Electronics Society) Student Chapter of HUST
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