Stochastic risk-constraint pricing strategy of electricity retailers based on Dempster-Shafer evidence theory

被引:5
|
作者
Khojasteh, Meysam [1 ]
Jadid, Shahram [1 ]
机构
[1] IUST, Ctr Excellence Power Syst Automat & Operat, Dept Elect Engn, Tehran 1684613114, Iran
关键词
Dempster-Shafer evidence theory; Price uncertainty; Retailer; Rivals' strategy; Stochastic programming; OPTIMAL SELLING PRICE; DEMAND RESPONSE; MODEL; MARKET; ENVIRONMENT; MANAGEMENT; FRAMEWORK;
D O I
10.1016/j.esr.2017.09.001
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
This paper investigates a bi-level stochastic energy acquisition strategy for electricity retailers with self-generation facilities to supply clients' demand from various resources of energy. The main propose of the presented work is modeling clients' switching behavior based on uncertainties of rival retailers' strategy and wholesale prices. The upper sub-problem models wholesale price fluctuations and determines retailer's participation levels in the forward and wholesale markets as well as scheduling of self-generation facilities based on the minimum supply cost. In the lower sub-problem, the Dempster-Shafer evidence theory (DSET) is applied to determine the retail selling price based on rivals' strategies and clients' switching tendency. DSET defines two belief and plausibility functions to evaluate the possibility of accepting selling prices by clients. According to the retailer's defined belief level and the minimum expected cost, the selling price is calculated in the lower sub-problems. Finally, a case study is used to show the performance of proposed method. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:260 / 274
页数:15
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