面向电力用户的数据服务机制及效益测算模型

The Data Service Mechanism and Benefit Calculation Model for Power Customer

随着电力市场化改革逐步推进,市场成员面临的交易风险日益增高,数据服务作为提供战略信息的重要手段,对降低风险、引导市场健康发展意义深远。因此,提出一种立足于售电公司,面向电力用户的数据服务架构体系,并在价值分析的基础上建立数据服务效益测算模型,以模型中效益指标最大化为目标函数,采用混合天牛须搜索的改进非支配排序遗传算法进行用电优化模拟,并将最优解带入效益测算模型进行分析;在MATLAB平台对客户用电权交易进行双向拍卖模拟,将交易后售电公司的收益情况与未交易时售电公司全权调配后的收益情况进行对比,最终得出最佳数据服务经营策略。该研究可为售电公司开展数据服务提供可行性参考。

Along with the gradual promotion of electric power market-oriented reform, the market participants face with the increased trading risk, and as an important measure to offer strategic information the data service is of far-reaching significance in reducing risk and leading healthy development of electricity market. For this reason, a data services architecture,which was based on electricity sale company and faced with electricity consumers, was proposed. On the basis of value analysis a data service benefit calculating model, in which the maximized benefit index was taken as objective function, was established and the improved Non-dominated Sorting Genetic Algorithm hybrid with Beetle Antennae Search(abbr. BASNSGA) was used to simulate the optimization of electricity utilization, and the optimal solution was brought into the proposed model to conduct the analysis. By means of MATLAB platform the double auction of power consumption right transaction of clients was simulated, and the post-transaction earning of electricity sale company was compared with the earning of post-full authority deployment of electricity sale company while the transaction was not conducted. Finally, the operating strategy of the best data service was obtained. The result of this research could provide feasible reference for electric power companies to develop data service.