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

被引：0

作者：

Liu, Jiangping ^{[1
]}

Wang, Zong ^{[1
]}

Hu, Hui ^{[1
]}

Xu, Shaoxiang ^{[1
]}

Wang, Jiabin ^{[1
]}

Liu, Ying ^{[2
]}

机构：

[1] Hubei Elect Power Exchange Ctr Ltd Co, Wuhan 430070, Peoples R China

[2] North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China

来源：

GLOBAL ENERGY INTERCONNECTION-CHINA | 2023年 / 6卷 / 03期

关键词：

Big data; Electricity consumption optimization; Load elasticity; Electricity consumption relevance; ROBUST OPTIMIZATION;

D O I：

10.1016/j.gloei.2023.06.002

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

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.

引用

页码：273 / 284

页数：12

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