摘要详情

ID / 提交时间

168 / 2021-10-29 23:41:09

标题

Virtual Power Plant Alliance Risk Mitigation Model and Bidding Optimization Strategy Considering the Uncertainty of Renewable Energy

关键字

distributed renewable energy, virtual power plant alliance, electricity market, Shapley value, distribution network.

主题及专题

Renewable energy system > Other topics in renewable energy

状态

终稿

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

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.

重要日期

会议日期

07月11日

2023

至

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