Energy Management Strategy of Wind-Photovoltaic-Storage Micro-grid System Considering Battery Life

Abstract

With the rapid growth of the proportion of new energy power, wind-photovoltaic (PV)-storage complementary power generation has become an important part of China's power provision. An energy management strategy for the wind-PV-storage micro-grid (MG) system is presented in this paper. By considering the system operation cost, battery life loss cost and environment cost of purchasing power, an economic dispatch model is established. Taking the lowest integrated cost of power generation as the goal, considering the constraints of output force and safety performance, the particle swarm optimization (PSO) algorithm is used to generate the parameters of the energy management strategy for optimizing power scheduling. Under different weather conditions, the better effectiveness of the proposed strategy is verified by comparing the simulation results of the proposed strategy with those of the conventional strategy. Based on the example data, the influence of the depth and frequency of battery charge and discharge on the battery's life is discussed, and the battery life is longer under the proposed strategy.