Optimal Virtual Power Plant Operation and Incentive Compatible Profit Allocation Scheme

被引:0
作者
Li, Qiushuang [1 ]
Liu, Zhifan [1 ]
Zhao, Xin [1 ]
Li, Yan [1 ]
Li, Chenhui [1 ]
Bai, Ying [1 ]
机构
[1] State Grid Shandong Elect Power Co, Econ & Technol Res Inst, Jinan, Peoples R China
来源
2023 IEEE/IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA, I&CPS ASIA | 2023年
关键词
virtual power plant; mixed-integer linear programming; Shapley value; DEMAND; LOAD;
D O I
10.1109/ICPSASIA58343.2023.10294572
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
With the increasing proportion of renewable energy in the power system, integrated peak regulation resources are urgently needed to improve the regulation capacity of the power system. Through effective control strategies, the virtual power plant can integrate distributed resources and support the power system to realize capacity regulation. This paper intends to consider the aggregation of electric vehicles (EVs), distributed energy storage and renewable energy in the virtual power plant under the background of renewable energy. We model it as a mixed integer linear programming, so that the virtual power plant (VPP) can maximize the profit under the condition of meeting the system load demand. At the same time, the profit allocation system is established by using Shapley value, which provides a feasible reference for the operation and profit allocation of virtual power plant in the real situation.
引用
收藏
页码:208 / 212
页数:5
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