Optimal configuration of integrated microgrid systems with distributed generations and electric vehicle charging stations

Energy shortage and environmental pollution problems have led to the development of electric vehicles (EVs). However, charging EVs through power grid could not reduce fossil energy consumption and pollution emission fundamentally. Therefore, an integrated system consisting of distributed generations (DGs) and EV charging stations can be connected with power grid in the form of microgrid to achieve more local consumption of renewable energy and reduce the environmental pollution. Firstly, this paper analyses the adaptability of EV charging facilities and DGs integration mode. And then predict the charging demand of EVs based on Monte Carlo method. Finally, a bi-objective optimization model with the lowest economic cost and minimum load fluctuation is established and use particle swarm optimization to solve the optimal configuration of integrated microgrid system with wind turbines (WT), photovoltaic generations (PV), diesel engine (DE), energy storage systems (ESS) and EV charging stations. The example compares the optimal configuration results of microgrid in the two scenarios of disorderly and orderly charging modes and studies the influence of the orderly charging mode on the results. Effectiveness of the proposed method was verified with simulations.