Distribution optimization of electric vehicle load space based on interval type-II fuzzy logic algorithm

Issue title: Fuzzy logic systems for transportation engineering

Guest editors: Dalin Zhang, Sabah Mohammed and Alessandro Calvi

Article type: Research Article

Authors: Zhang, Zhongwei^{; *}

Affiliations: Mechanical Engineering School, Hangzhou Polytechnic, Hangzhou, China

Correspondence: [*] Corresponding author. Zhongwei Zhang. E-mail: [email protected].

Abstract: The disorderly charging behavior of a mobile compound, large-scale electric vehicles in time and space will not only cause the phenomenon of “compound the peak” of the electric load, increase of the peak-valley difference of the grid, and may cause partial overcharge and line congestion and other issues. Relying on the Interval Type-II fuzzy logic algorithm, the two optimization algorithm of interval type 2 fuzzy logic algorithm and genetic algorithm are compared from the space point of view, based on the research on the optimization problem of electric vehicle charging load space allocation, through the results of calculation examples in this paper. Practical results have verified the effectiveness and feasibility of the algorithm, and the interval two fuzzy logic algorithm has high practicability.

Keywords: Electric vehicle, charging load, space allocation optimization, interval type-II fuzzy logic algorithm

DOI: 10.3233/JIFS-189975

Journal: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4899-4904, 2021