Multi-Objective collaborative planning for distribution networks considering electric vehicle charging stations and distributed generation. (August 2019)

• Record Type: Journal Article
• Authors: Zheng, Yunfei; Sang, Zixia; Wang, Yingxiang; Li, Xiang; Wang, Rian; Kong, Shunfei; Hu, Zhijian
• Is Part Of: Journal of physics. Volume 1303(2019)
• Publication Date: 2019-08
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1303/1/012096
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: The large investment of electric vehicles and distributed generation has affected the stable operation of distribution network. At the same time, the construction of charging station of electric vehicles not only causes the burden of electric power network, but also the burden of transportation network. How to ensure the stability and economics of distribution network has become an urgent problem. Based on this background, this paper proposes a multi-objective collaborative planning method for distribution network, which considers the charging station of electric vehicle and the distributed generation. In order to find the optimal planning scheme, we use an improved NSGA-II algorithm. Finally, the simulation analysis of the case of IEEE 33-bus shows that the proposed planning method not only ensures the stability and economics of distribution network, but also fully saves the average waiting time of charging users of electric vehicles and improves the traffic satisfaction.