Charging Station Optimization Project Based on the Matrix Flexible Charging Reactor

Abstract

In accordance with the Principle of "scientific planning, moderate advancement, rational layout, and classification implementation", the genetic algorithm based on real coding will be improved in this paper for the "Hard to Charge" problem of electric vehicles and urban bus replacement project. Aiming at minimum construction, operation and maintenance, network loss, queuing and other costs, a model is established and an innovative layout of electric bus charging facilities based on Matrix Flexible Charging Reactors is proposed to make full use of resources and improve the "Hard to Charge" situation. Taking Zhuhai as an example, by predicting the number of electric buses in Zhuhai in the planning year, the different locations and capacities of the bus charging stations with smaller average annual comprehensive cost in the regions are realized. And the comprehensive cost of the charging station with Matrix Flexible Charging Reactors as the construction subject is compared with the charging piles’. The analysis shows that this optimization proposal can better meet the future charging demand of urban electric buses, and proves that the charging station with Matrix Flexible Charging Reactors as the main subject of construction is more cost-effective. It provides new ideas for charging facilities planning in other cities, which is conducive to creating a healthier and more orderly environment for electric vehicle charging facilities industry.