NSGA-II multi-objective optimization regional electricity price model for electric vehicle charging based on travel law. (November 2021)

• Record Type: Journal Article
• Authors: Wang, Ranran; Mu, Jingying; Sun, Zhihui; Wang, Jinxing; Hu, Anrui
• Is Part Of: Energy reports. Volume 7(2021)Supplement 7
• Page Start: 1495
• Page End: 1503
• Publication Date: 2021-11
• Subjects: Electric vehicles -- Travel law -- NSGA-II -- Multi objective optimization -- Load adjustment -- Zonal price; Power resources -- Periodicals; Energy industries -- Periodicals; Power resources; Periodicals; Electronic journals; 621.04205
• DOI: 10.1016/j.egyr.2021.09.093
• Languages: English
• ISSNs: 2352-4847

Abstract

Abstract: Electric vehicle is the key technology to tackle the issue of energy and emissions, a great number of EVs connected to the grid will negatively impact on the economic operation of the grid. Based on the statistics of electric vehicle travel rules, this paper used NSGA-II multi-objective optimization algorithm to establish a regional electricity price model. The goal is to reduce the peak load through electricity consumption time and ensure the interests of operators, The effectiveness of the algorithm is verified by an example of a certain area in Shandong Province. The algorithm did not change the space–time distribution of existing charging stations, and only used the regional electricity price to adjust the charging load of electric vehicles, which has high practical significance.