Virtual Power Plant Alliance Risk Mitigation Model and Bidding Optimization Strategy Considering the Uncertainty of Renewable Energy
编号:57 访问权限:仅限参会人 更新:2021-12-06 16:17:21 浏览:587次 口头报告

报告开始:2021年12月16日 10:00(Asia/Shanghai)

报告时间:15min

所在会场:[A] Renewable energy system [A3] Session 13

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摘要
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.
关键词
distributed renewable energy; virtual power plant alliance; electricity market; Shapley value; distribution network.
报告人
JIE YANG
Zhejiang University

稿件作者
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
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    07月11日

    2023

    08月18日

    2023

  • 11月10日 2021

    初稿截稿日期

  • 12月10日 2021

    注册截止日期

  • 12月11日 2021

    报告提交截止日期

主办单位
IEEE IAS
承办单位
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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