Maximum openable capacity optimization method of active distribution network considering multiple users access. (August 2022)

• Record Type: Journal Article
• Authors: Xu, Rui; Chen, Changming; Chen, Daxing; Zhou, Guohua; Jin, Yechen; Wu, Xiaowei; Wang, Weilai; Feng, Xinglong; Liu, Shengyuan; Lin, Zhenzhi
• Is Part Of: Energy reports. Volume 8(2022)Supplement 5
• Page Start: 43
• Page End: 50
• Publication Date: 2022-08
• Subjects: Maximum openable capacity -- Active distribution network -- Multiple users access -- NSGA-II; Power resources -- Periodicals; Energy industries -- Periodicals; Power resources; Periodicals; Electronic journals; 621.04205
• DOI: 10.1016/j.egyr.2022.02.115
• Languages: English
• ISSNs: 2352-4847

Abstract

Abstract: With the development of active distribution network (ADN), the situation that multiple users such as distributed generations and loads are connected to multiple nodes of ADN at the same time may occur. In this case, the power flow of ADN will change a lot when compared with the situation that a user is connected to only one node of ADN. Therefore, a maximum openable capacity optimization model of ADN considering multiple users access is proposed in this paper to deal with the situation that multiple users such as distributed generations and loads are connected to multiple nodes of ADN at the same time. The improved non-dominated sorting genetic algorithm (NSGA-II) is utilized to solve the proposed model, and case study based on IEEE 33-bus ADN is performed for verifying the effectiveness of the proposed maximum openable capacity optimization method.