Decision-making study of electricity retailers considering the economies of scale

被引：0
|
作者：
Suo R. [1 ]
Song Y. [1 ]
机构：
[1] Key Laboratory of Control of Power Transmission and Transformation, Ministry of Education, Shanghai Jiao Tong University, Shanghai
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2019年 / 47卷 / 11期
关键词：
Electricity market; Electricity retailer; Power purchasing and selling; Risk assessment; Scale economies;
D O I：
10.19783/j.cnki.pspc.180819
中图分类号：
学科分类号：
摘要：
Load scale has an important impact on market participation and profitability of an electricity retailer. From the perspective of scale economies, this paper analyses the significance of load scale on the operating cost and profitability of an electricity retailer. Then considering the interaction between power generation market and the retailer of a certain scale, a detailed price model of electricity purchasing is constructed. The connection between power retail price and load scale is established based on the psychological model. On this basis, considering the uncertainty of power purchasing price and demand, the stochastic programming theory is used to construct the decision model of a retailer, so as to maximize profit and minimize risk of unit load. The Equilibrium Problem with Equilibrium Constraints (EPEC) problem developed by constructed model is solved with the iterative sensitivity function method. The numerical results show that the algorithm can effectively converge, and load scale has economic benefits in reducing unit purchasing cost. © 2019, Power System Protection and Control Press. All right reserved.
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页码：95 / 102
页数：7
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