基于价格博弈的需求侧管理智能控制系统研究

在智能电网中,需求侧管理是优化资源利用的有效方法,供电公司可以通过采取合适的定价策略以改变用户的消费行为来调整负荷,从而使电力系统负荷峰均比最合理化,用户可根据电价信息规划自己的用电以降低用电费用。设计的智能控制系统具有双向通信功能,能够及时收集电力公司电价信息并及时发布用电计划,同时具有电力计量和智能用电分析功能,并分析了需求侧管理算法模型。最后给出了实验结果,表明可以大大降低用户消费,改善电力系统峰均比。

A Research on the Smart DSM Control System Based on Price Game

In smart grids,DSM is an effective method to optimize resource utilization.The power company may adjust the load by adopting a suitable pricing strategy to shape users' consuming behavior,thus achieving a most reasonable PAR for the power system load.Each user may schedule its power consumption according to price information so as to reduce its electricity payment.This paper designs a smart control system with bidirectional communication function which can timely collect price information of the power company and publish power scheduling and has the functions of power measurement and intelligent power consumption analysis.Furthermore,this paper makes an analysis on a DSM algorithm model.Finally,it gives experimental results which show that this method can significantly reduce users' consumption and improve PAR of the electric power system.