Multi-objective optimization model of electricity consumption for customers considering equipment consumption correlation. (September 2021)

• Record Type: Journal Article
• Authors: Lu, Feng; Jin, Weichao; Zhang, Liang; Wang, Bin; Lin, Zhenzhi; Liu, Shengyuan; Chu, Zhenyue; Zhang, Jishan; Leng, Zhangyuan; Wang, Weikang; Guo, Tao
• Is Part Of: Energy reports. Volume 7(2021)Supplement 3
• Page Start: 209
• Page End: 215
• Publication Date: 2021-09
• Subjects: Data driven -- Consumption correlation -- Multi-objective electricity consumption optimization -- Cross-correlation coefficient; Power resources -- Periodicals; Energy industries -- Periodicals; Power resources; Periodicals; Electronic journals; 621.04205
• DOI: 10.1016/j.egyr.2021.06.036
• Languages: English
• ISSNs: 2352-4847

Abstract

Abstract: Given the background of electricity market, the electricity consumption optimization can reduce consumers' energy cost, and also help to reduce the peak load and improve the accommodation level of clean energy. Aiming at solving the problem of consumers' insufficient management of their own electricity consumption, a multi-objective optimization model of electricity consumption is proposed considering the correlation of equipment electricity consumption. First, the cross-correlation coefficient is adopted to identify the consumption correlation among various electricity equipment based on the historical load data of consumers, and the significance of the consumption correlation is analyzed by silhouette index. Next, a multi-objective optimization model is constructed and the optimal electricity consumption strategy is obtained to maximize the consumer-side economy and comfort benefits. Finally, the results of case studies on a Zhejiang stir-fried tea enterprise in China show that the proposed model is feasible and effective.