基于用电行为聚类筛选的智能电网需求响应建模研究

Research on Smart Grid Demand Response Modeling Based on Power Consumption Behavior Clustering Screening

为了降低负荷波动,实现电网经济效益最大化,通过分析智能电网的特点、用户响应方式,从相关参与方利益出发对用户的用电方式进行聚类分析,综合考虑用户电价敏感度以及响应报价来构建多目标用户筛选模型进行用户挖掘,同时基于支持向量回归算法构建电价计算模型。这样既给出了实施对象的选择方法,又给出了实施过程中合理的电价计算策略,实测结果证明模型计算误差较小,为提升智能电网的需求响应的实施效果奠定了数据基础。

In order to reduce the load fluctuation,maximize economic benefit of power grid,this article analyzes of the characteristics of the smart grid and the response mode of users,related parties interests of users of electricity clustering analysis in the form of comprehensive consideration.It builds a multi-objective users screening model for mining,at the same time,builds electricity price calculation model based on support vector regression algorithm.This paper not only gives the selection method of the implementation object,but also gives the reasonable calculation strategy of the electricity price during the implementation process.The measured results show that the calculation error of the model is small,which lays a data foundation for improving the implementation effect of smart grid demand response.