A robust optimization model for multiple electricity retailers based on electricity trading in the presence of demand response program

被引:4
作者
Feng, Xuan [1 ]
Hu, Feihu [1 ]
Cao, Hui [1 ]
Tang, Lun [1 ,2 ]
机构
[1] Xi An Jiao Tong Univ, Sch Elect Engn, Xian 710049, Peoples R China
[2] State Grid Sichuan Elect Power Res Inst, Chengdu 610041, Peoples R China
基金
中国国家自然科学基金;
关键词
Electricity retailer; Electricity trading; Robust optimization; Short-term cooperation; Cooperative mechanism; BIDDING STRATEGY; SELLING PRICE; ENERGY; GAME; PROCUREMENT; UNCERTAINTY; MARKET;
D O I
10.1016/j.ijepes.2023.109362
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper focuses on the short-term cooperation between the electricity retailers at distribution network level and proposes an electricity trading based cooperative mechanism to manage the cooperation between retailers. Under the cooperative mechanism, the objective of the retailers who are engaged in cooperation is to maximize their overall profit through appropriate electricity trading. The profit maximization problem for the retailers is formulated as a robust optimization model and solved via heuristic algorithms. The profit increment brought by electricity trading is allocated according to the proposed profit allocation method. The simulation results demonstrate that the proposed mechanism can effectively increase the overall profit of the retailers. Compared with the non-cooperative case, the cooperative case can increase the overall profit of 427.34 $ at best. Moreover, the results demonstrate that the number of the retailers involved in electricity trading has a positive impact on overall profit increment. The results also reveal that each retailer can achieve profit growth even under the most unfavorable conditions by adopting the profit allocation method.
引用
收藏
页数:16
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