Optimal Configuration of Energy Storage Microgrid Based on Chaos Optimization Multi-Objective Genetic Algorithm

Microgrid can effectively integrate the advantages of distributed generation, and its optimal allocation is particularly important because it directly affects the cascade comprehensive utilization efficiency of energy and power supply reliability. In this paper, a Chaotic Multi-objective optimization Genetic Algorithm (CMGA) based on chaos optimization was proposed, and the optimal allocation of distributed generators in stand-alone microgrid systems was studied. The specific power models of wind turbine, solar photovoltaic arrays, micro-turbine and storage battery were built. Considering the advantages of Combined Cooling Heating and Power (CCHP) and wind-solar complementarity in the microgrid system, On the premise of meeting the basic performance indexes of the independent power supply system, the objective function was constructed with the system investment, operating cost and power supply reliability as the objectives, and the algorithm proposed in this paper was used to optimize the solution. The analysis of the example shows that the independent microgrid system after optimized configuration guarantees the reliability of power supply and improves the economic benefit.