Optimised operation study of load aggregator based on UCCP‐IDR model. Issue 12 (31st March 2022)

• Record Type: Journal Article
• Authors: Wang, Lei; Ma, Chaoqun; Zhu, Liuzhu; Wang, Xuli; Yin, Chenxu; Cong, Hao; Shi, Tiancheng
• Is Part Of: IET generation, transmission & distribution. Volume 16:Issue 12(2022)
• Page Start: 2331
• Page End: 2345
• Publication Date: 2022-03-31
• Subjects: Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/gtd2.12450
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract: With the increasing development of integrated energy systems and the continuous promotion of integrated demand response (IDR) research, residential users with a large amount of demand response resources are drawing more and more widespread attention. In order to fully exploit the IDR potential of residential users and analyse the influence of user comfort and consumer psychology (UCCP) on IDR, the optimised operation study of load aggregator (LA) based on UCCP‐IDR model is proposed. Firstly, a self‐organising map algorithm for clustering is introduced, from which various types of users with differentiated consumption psychology are obtained. Secondly, user comfort and consumption psychology are taken into account to establish a user curtailable, shiftable and transformable load model. Thirdly, the user IDR optimisation model is established based on the load model considering the user response uncertainty. Finally, based on the optimisation strategy of user IDR, the total energy demand of LA is obtained, and thus the optimal operation model of LA equipment is established. The analysis shows that the proposed strategy can provide a more reliable and targeted integrated demand response strategy for residential users, and achieve a win–win situation for both LA and residential users.