The dynamic multi-objective optimal dispatch of grid-connected micro grid

In this paper, a dynamic multi-objective day-ahead optimal dispatch model is constructed to minimize the operating cost and the environmental cost of the grid-connected micro grid which including wind power, photovoltaic power generation, battery and diesel generator. The optimal parameters are the charge/discharge value of battery and the output power of the diesel generator in 24 hours. In order to solve the nonlinear optimal problem with constraints, the multi-objective particle swarm optimization algorithm is adopted to get the Pareto front of the objective functions. The optimal dispatch schemes according to the lowest environmental cost and the lowest operating cost in the Pareto front are discussed respectively for two typical weather sceneries.