Research on location algorithm of new energy vehicle charging station based on multi-objective decision
- Autores: Zhaojie Zhang
- Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 8, Nº. 2, 2023, págs. 311-322
- Idioma: inglés
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Resumen
Under the influence of the new energy strategy, the new energy vehicle has developed vigorously. As an important sup-porting infrastructure, the rationality of its location construction has become the key factor for the popularization of thecars. In this paper, the influence of economy, environmental protection and convenience is comprehensively considered inthe model. The comprehensive optimization objective is to minimize the annual cost of construction and operation of thestations, minimize the additional carbon emissions caused by charging, and maximize the service capacity. Consideringthe layout and capacity constraints of charging facilities in charging stations, the AHP is used to weight each objectivefunction. Thus, the multi-objective optimization model can be simplified, and the chicken swarm algorithm is used tosettlement this question.
