The disordered charging strategy of new energy electric vehicles charging at rated power by plug-and-play has great randomness,which is characterized by easy to produce problems such as peak elec-trical load,low charging efficiency and low owner satisfaction.Aiming at the above problems,a charging scheduling modelfor electric vehicle based on improved genetic algorithms(IGA)is proposed.Firstly,an effective vehicle access mechanism was designed with the optimization goals of parking lot operator profit and owner satisfaction.Secondly,a simulated annealing algorithm was introduced to improve the mutation operation of the traditional genetic algorithm.Finally,experimental simulations are conducted on the pro-posed IGA algorithm and charging scheduling model.The results show that the charging scheduling model based on the IGA algorithm has good performance,can effectively smooth the load distribution of the dis-tribution network,satisfy the common interests of the charging station operators and car owners,and pro-vide references and guidance for the research in related fields.
维普
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