Demand  Response Pricing Model for Power Sales Companies Considering User Differences

doi:10.3969/j.issn.1000-7229.2019.09.014

Abstract

Abstract: With the liberalization of the power sales market， a large amount of social capital has entered the market， and the number of power sales companies has increased dramatically. In the fierce market competition， how to ensure the self-revenue and improve the users power consumption satisfaction is an urgent problem for sales companies. For this reason， a power pricing strategy based on different power consumption of power users is constructed. Firstly， according to the load curve， the similarity and difference of different users behavior are analyzed and then the user is subdivided. A customized time-sharing electricity price model is established to obtain the optimal pricing strategy for the sales company and its users to maximize revenue. Finally， the model is solved by the genetic algorithm and the cross-section algorithm applying to the actual load data of the power users， and the effectiveness of the proposed electricity price decision model is proved.

Key words: time-of-use electricity price, electricity market, pricing decision, refined demand response, optimization problem

CLC Number:

TM 734

WANG Xinghua， LIU Shengwei， CHEN Haojun， PENG Xiangang， ZHOU Yawu. Demand Response Pricing Model for Power Sales Companies Considering User Differences[J]. Electric Power Construction, 2019, 40(9): 116-123.

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Demand Response Pricing Model for Power Sales Companies Considering User Differences

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