面向智能电网峰值负荷降低的用电数据分析

随着用电负荷需求不断增加所引发的峰值负荷过载问题,文中建立了智能家居(SH)和智能电网(SG)服务器之间数据通信模型,给出了配电网负荷需求管理的总体条件,并提出了一种面向智能电网(SG)的负荷数据分析DR管理方法,通过对用户的SH收集用电数据进行分析,设计了峰值负荷情况下的DR决策,分别从用户、电力公司和瞬时负荷变化三个角度设计了不同的峰值负荷降低算法。仿真结果表明,所提出的方法在很大程度上有效地降低了配电网的峰值负荷。

Power consumption data analysis for smart grid peak load reduction

With the peak load overload caused by the increasing demand of power load,the data communication model between SH and SG servers is designed,the general conditions of load demand management of distribution network is given,and a load data analysis demand response(DR) management method for smart grid(SG) are proposed.The power consumption data collected by the user’s smart home(SH),in the case of peak load,DR decision-making is designed,and different peak load reduction algorithms are designed from three aspects of users,power companies and instantaneous load change.The simulation results show that the proposed method can effectively reduce the peak load of distribution network to a large extent.