Research on the optimization strategy of customers’electricity consumption based on big data  

作　　者：Jiangping Liu Zong Wang Hui Hu Shaoxiang Xu Jiabin Wang Ying Liu 

机构地区：[1]Hubei Electric Power Exchange Center Limited Company,Wuhan 430070,P.R.China [2]School of Economics and Management,North China Electric Power University,Beijing 102206,P.R.China

出　　处：《Global Energy Interconnection》2023年第3期273-284,共12页全球能源互联网（英文版）

摘　　要：Current power systems face significant challenges in supporting large-scale access to new energy sources,and the potential of existing flexible resources needs to be fully explored from the power supply,grid,and customer perspectives.This paper proposes a multi-objective electricity consumption optimization strategy considering the correlation between equipment and electricity consumption.It constructs a multi-objective electricity consumption optimization model that considers the correlation between equipment and electricity consumption to maximize economy and comfort.The results show that the proposed method can accurately assess the potential for electricity consumption optimization and obtain an optimal multi-objective electricity consumption strategy based on customers’actual electricity consumption demand.

关 键 词：Big data Electricity consumption optimization Load elasticity Electricity consumption relevance 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] TM73[自动化与计算机技术—计算机科学与技术]