Multi-objective economic optimization operation of electric vehicle-contained microgrid based on cogeneration

In order to ensure the micro-grid with distributed power to operate in a more economical, flexible and environmental way as well as the superiority of distributed power can be given full play. Aimed at the scheduling of the optimization of micro-grid, the paper propose the multi-objective optimization model that electric vehicles will be both a load and power generation unit at the same time, which aims to maximize the economic benefit and minimize the environmental cost. Using the non-objective sorting genetic algorithm NSGA-to solve the multi-objective optimization problems and obtain the Pareto front-end methods, finally, getting the best dispatch strategy of micro-grid. The validity of the proposed model, dispatch strategy and algorithm is proved by the examples.