Research on Unit Combination for Electric Vehicles Charging Based on Genetic Algorithm

Abstract

As a new type of vehicle, electric vehicles can improve energy efficiency and reduce environmental pollution. However, as a special load, the charging behavior of electric vehicles is random and intermittent. In this paper, the genetic algorithm is used to solve the charging and discharging constraints of electric vehicles. Taking the lowest cost as the objective function, a combined start and stop model oflarge-scale electric vehicle charging and discharging considering multiple constraints is established, and the optimal combination and minimum power generation cost are obtained. The common algorithms of unit commitment are also introduced. Genetic algorithm is used to solve complex nonlinear optimization problems. Multiple constraints and special requirements for objective functions can be considered. With Matlab and finite iteration, the optimal solution and generating unit output are solved for a specific example, and a set of optimal start - stop combinations in a group of 24 hours is obtained.