Multi-objective day-ahead optimal scheduling of wind-solar microgrid considering V2G technology

Although adding V2G economic dispatch to the wind-solar load-storage microgrid has higher economic benefits, it may lead to “peaks on top of peaks”. In order to solve this problem, this paper establishes a three-objective day-ahead optimal scheduling model that comprehensively considers economics, grid-connected power mean square error and grid-connected power peak-to-valley difference. The multi-objective gray wolf algorithm with multi-period cosine convergence factor is used to solve the transfer tram load mode and V2G mode respectively, which effectively compensates for the disadvantage that the gray wolf algorithm is easy to fall into local optimum. Finally, the numerical example analysis shows that the established optimal scheduling model is correct and effective.