<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

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

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Under the influence of the new energy strategy, the new energy vehicle has developed vigorously. As an important supporting infrastructure, the rationality of...

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

Online veröffentlicht: 23. Dez. 2022

Seitenbereich: 311 - 322

Eingereicht: 24. Apr. 2022

Akzeptiert: 14. Juli 2022

DOI: https://doi.org/10.2478/amns.2021.2.00221

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

© 2023 Chaojie Zhang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

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

Online veröffentlicht: 23. Dez. 2022

Seitenbereich: 311 - 322

Eingereicht: 24. Apr. 2022

Akzeptiert: 14. Juli 2022

DOI: https://doi.org/10.2478/amns.2021.2.00221

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

© 2023 Chaojie Zhang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Fig. 2

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