New energy charging pile planning in residential area based on improved genetic algorithm

Abstract

With the development of new energy vehicles, the capacity of residential areas for private charging piles continues to increase. But for most car owners, charging piles are not needed every day, and the charging piles of residents will be redundant. In response to this phenomenon, this paper analyzes the relevant attributes of new energy vehicles and the current use of cars under big data statistics, and proposes to calculate the number of new energy charging piles in residential areas through genetic algorithm in order to solve the problem of surplus charging piles.