Bidding strategy for a virtual power plant participating in a multiple competitive market based on the Stackelberg game

被引：0
|
作者：
Peng C. [1 ]
Xu S. [2 ]
Gu H. [1 ]
Zhou H. [1 ]
Hu R. [1 ]
Nie Y. [1 ]
Sun H. [2 ]
Chen W. [2 ]
机构：
[1] China Southern Power Grid Dispatching & Control Center, Guangzhou
[2] State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2024年 / 52卷 / 07期
关键词：
aggregation algorithm; bidding strategy; Stackelberg game; virtual power plant (VPP);
D O I：
10.19783/j.cnki.pspc.230934
中图分类号：
学科分类号：
摘要：
Virtual power plants (VPP) can aggregate multiple heterogeneous distributed energy resources (DER) to flexibly participate in the energy market. However, because of the uncertainty of bidding strategies of market participants, VPPs face potential risks of bidding failure in the day-ahead energy market. To solve the problem of VPPs’ optimal bidding strategy given the uncertainty of electricity price and quantity in the multiple competitive electricity market, a VPP flexible segmented bidding strategy is proposed. First, VPPs’ aggregated regulation capacity estimation method is constructed based on the operational characteristics of DERs, and a flexible segmented bidding quantity range of VPP is proposed considering power balance demand. Then, a VPPs’ day ahead energy market bidding model based on the Stackelberg game is established to realize the maximization of VPP profit and social welfare. Finaly, strong duality theory and the ‘big-M’ method are introduced to transfer the equilibrium problems with equilibrium constraints (EPEC) into a mixed integer linear program (MILP). The results of case studies indicate that the adoption of the flexible segmented bidding strategy in the day ahead electricity market can fully exploit VPP regulation capacity, ensure the effective bidding of electricity quantity demand, and increase VPP profit and social benefit. © 2024 Power System Protection and Control Press. All rights reserved.
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页码：125 / 137
页数：12
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