Home > View > Focus

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

2023-07-20

【论文推荐】华北电力大学刘颖等：基于电力大数据的用户用电优化策略研究

摘要

目前的电力系统在支持大规模获取新能源方面面临着巨大的挑战，需要从供电、电网和用户的角度充分挖掘现有灵活资源的潜力。本文提出了一种多目标用电优化策略，考虑了设备和用电之间的关联性。它构建了一个多目标用电优化模型，考虑了设备和用电之间的相关性，使经济性和舒适性最大化。结果表明，所提出的方法能够准确评估用电优化的潜力，并根据用户的实际用电需求获得最佳的多目标用电策略。

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

基于电力大数据的用户用电优化策略研究

Jiangping Liu¹, Zong Wang¹, Hui Hu¹, Shaoxiang Xu¹, Jiabin Wang¹, Ying Liu²

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

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

Abstract

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.

Keywords

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

Fig. 1 Load time shift and cross-correlation coefficient

Fig. 2 Daily load curves and load elasticity coefficient of four consumers

Fig. 3 The number of interrelationships between the 0electrical loads of each piece of equipment of User X

Fig. 4 Electric consumption optimization results of User A (2nd)

Fig. 5 Electric consumption optimization results of User A (4th)

Fig. 6 Electric consumption optimization results of User A (7th)

本文引文信息

Jiangping Liu；Zong Wang, Hui Hu, Shaoxiang Xu, Jiabin Wang, Ying Liu (2023) Research on the optimization strategy of customers' electricity consumption based on big data, Global Energy Interconnection, 6(3): 273-284

刘江平、王宗、胡惠、徐劭翔、王家斌、刘颖 (2023) 基于电力大数据的用户用电优化策略研究. 全球能源互联网（英文）, 6(3): 273-284

Biographies

Jiangping Liu

Jiangping Liu received his bachelor’s degree in power system automation from Wuhan University of Water Resources and Electric Power in 1995 and his master’s degree in computer application from Wuhan University of Water Resources and Electric Power in 2000.He is currently working in Hubei Power Trading Center Co., Ltd.His research interests are in power market and power trading as well as power dispatching and operation.

Zong Wang

Zong Wang received his bachelor’s degree from Zhejiang University in 1990.He is currently the Deputy General Manager of the Power Trading Center of State Grid Hubei Electric Power Company.His research interests include power system production, operation and power trading compliance management.

Wang received his bachelor’s degree from Zhejiang University in 1990. He is currently the Deputy General Manager of the Power Trading Center of State Grid Hubei Electric Power Company. His research interests include power system production, operation and power trading compliance management.

Jiabin Wang

Jiabin Wang received his bachelor’s degree in engineering from Huazhong University of Science and Technology in 1996 and his master’s degree in engineering from Huazhong University of Science and Technology in 2005.He is currently working in the Power Trading Center of State Grid Hubei Electric Power Company, and his research interests include grid planning and power trading.

Hui Hu

Hui Hu received her bachelor’s degree in law and finance from Zhongnan University of Economics and Law in 2011 and her master’s degree in engineering from Three Gorges University in 2019. She currently works at the Power Trading Center of State Grid Hubei Electric Power Company, and her research interests include power trading and legal compliance.

Shaoxiang Xu

Shaoxiang Xu received his B.S.degree from Wuhan University in 2010, M.Sc.degree from Nanyang Technological University in Singapore in 2011, and Ph.D.degree from Huazhong University of Science and Technology in 2018.He is currently working in the Power Trading Center of State Grid Hubei Electric Power Corporation, and his research interests include power markets and power system stability and control.

Ying Liu

Ying Liu received her bachelor’s degree in economics from Jiangxi University of Finance and Economics in 2018, and she is pursuing her master’s degree at North China Electric Power University, where her research focuses on new energy and power markets.

编辑：王彦博

审核：王伟

郑重声明

根据国家版权局相关规定，纸媒、网站、微博、微信公众号转载、摘编本网站作品，需包含本网站名称、二维码等关键信息，并在文首注明《全球能源互联网》原创。个人请按本网站原文转发、分享。

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

【论文推荐】华北电力大学 刘颖等：基于电力大数据的用户用电优化策略研究

郑重声明

【论文推荐】华北电力大学刘颖等：基于电力大数据的用户用电优化策略研究