Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 2


Published
on

December 23, 2022


Pages

311-322


DOI

Article

Research on location algorithm of new energy vehicle charging station based on multi-objective decision

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Authors

Chaojie Zhang Affiliation:
Henan Polytechnic, Zhengzhou 450046, Henan China


Abstract

Under the influence of the new energy strategy, the new energy vehicle has developed vigorously. As an important supporting infrastructure, the rationality of its location construction has become the key factor for the popularization of the cars. In this paper, the influence of economy, environmental protection and convenience is comprehensively considered in the model. The comprehensive optimization objective is to minimize the annual cost of construction and operation of the stations, minimize the additional carbon emissions caused by charging, and maximize the service capacity. Considering the layout and capacity constraints of charging facilities in charging stations, the AHP is used to weight each objective function. Thus, the multi-objective optimization model can be simplified, and the chicken swarm algorithm is used to settlement this question.


Keywords

Multi-objective decision-making, New energy vehicle, Charging station location, Chicken swarm algorithm


Citation

Zhang, C. (2021). Research on location algorithm of new energy vehicle charging station based on multi-objective decision. Applied Mathematics and Nonlinear Sciences, 6(2), 311–322. https://doi.org/10.2478/amns.2021.2.00221

Published by: Engineering Journals

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