Research on Capacity Optimization Configuration of Hybrid AC/DC Microgrid Based on Wind, Solar and Storage

Abstract

In a microgrid with multiple types of power sources, the distribution and capacity configuration of power sources will have a greater impact on the economics of the microgrid. Aiming at the grid-connected hybrid AC/DC microgrid of wind, solar, and storage, the power flow model with the goal of reducing the economic cost of the microgrid operation was established. Taking the self-balancing rate and converter loss of the microgrid as the evaluation indicators of the microgrid, a suitable operation control strategy is proposed. At the same time, using the actual data of a certain place, the genetic algorithm is used to optimize the solution, and the optimal scheme of its capacity configuration is given, which verifies the effectiveness of the control strategy proposed in this paper. The results show that increasing the battery capacity and coordinated configuration of wind turbines and photovoltaics can make the microgrid have better operating economy.