Abstract: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. BAS-NSGA) 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.
标题：面向电力用户的数据服务机制及效益测算模型
英文标题：The Data Service Mechanism and Benefit Calculation Model for Power Customer
