Open AccessOptimised operation study of load aggregator based on UCCP‐IDR model
Author(s) -
Wang Lei,
Ma Chaoqun,
Zhu Liuzhu,
Wang Xuli,
Yin Chenxu,
Cong Hao,
Shi Tiancheng
Publication year - 2022
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/gtd2.12450
Subject(s) - news aggregator , demand response , computer science , cluster analysis , exploit , user profile , energy consumption , load profile , operations research , engineering , electricity , artificial intelligence , computer security , world wide web , electrical engineering , operating system
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.