考虑用户差异性的售电公司需求响应电价模型

Demand Response Pricing Model for Power Sales Companies Considering User Differences

随着售电市场的放开,大量社会资本进入电力市场,售电公司数量急剧增加。在激烈的市场竞争下,如何保证自身收益的同时,提高用户的用电满意度,是售电公司亟待解决的问题。为此,构建了基于电力用户用电差异性的售电侧定价策略。首先,根据负荷曲线,分析不同用户用电行为的相似性和差异性,对用户进行细分;然后,为获得售电公司及其用户收益最大化的最优定价策略,构建定制化的分时电价模型;最后,通过电力用户的实际负荷数据,利用遗传算法和纵横交叉算法对模型进行求解,对比证明所提的电价决策模型的有效性。

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,howto ensure the selfrevenue 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.