Optimisation configuration of hybrid AC/DC microgrid containing electric vehicles based on the NSGA‐II algorithm

Based on the development of hybrid AC/DC microgrid, considering the objectives of microgrid life-cycle cost, self-balancing rate and converter losses, an optimisation configuration model of a hybrid AC/DC microgrid is established here. Based on the different model of EVs to connect with grid, the matching control strategies for the model are proposed. The elitist non-dominated sorting genetic algorithm (NSGA-II) is applied to solve the optimisation configuration model. With the example system simulation, the demand response function of EVs is analysed, and the impacts of different EVs charging modes on optimisation configuration results of the hybrid AC/DC microgrid are studied and discussed. The rationality and effectiveness of proposed models and strategies are verified.