Research On Multi-objective Optimal Operation Strategy Of Microgrid

With the development of technology and social progress,the pollution gases generated by the excessive use of fossil fuels have exacerbated environmental degradation,causing widespread global attention to environmental issues.Renewable energy sources such as wind power and photovoltaic are considered effective means to solve environmental degradation problems due to their pollution-free and low-cost power generation processes.However,their power supply intensity is greatly affected by surrounding natural conditions and their power supply power is unstable.As a new type of power generation system,microgrids can effectively reduce energy loss in transmission,have high energy utilization efficiency and power supply stability,and therefore have attracted much attention in the field of electricity.With the development and maturity of microgrid technology,the scheduling and economic operation of microgrids have attracted widespread attention from researchers.This article mainly studies the multi-objective optimization scheduling problem of microgrids,and its main work content is as follows:(1)In this paper,a small regional micro grid system is established,which includes several commonly used distributed generation units,such as photovoltaic power generation,wind power generation,micro gas turbine,fuel cell and battery.Through their operating characteristics,their respective mathematical models are established,and from the perspective of demand side response,a price based demand side response model is constructed.(2)Based on the economic and environmental friendliness of the microgrid system operation and the constraints of various power generation equipment,a comprehensive objective function was established to consider the lowest economic and environmental costs in the microgrid grid grid connection and island operation modes.Its economic costs include fuel costs,operation and maintenance costs,equipment depreciation costs,and interaction costs with the large power grid;The environmental cost refers to the cost of controlling the pollution gases emitted by microgrids.(3)In order to further improve the economic and environmental protection of microgrid operation,this article proposes an improved atomic search optimization algorithm(IASO)based on the atomic search optimization algorithm(ASO)theory.By adopting Cauchy mutation and adaptive ideas to improve the global optimization ability of ASO algorithm,a combination of Whale Optimization(WOA)algorithm and Atomic Search Optimization algorithm is used to improve the convergence accuracy of the algorithm.And three unimodal and three multimodal functions were selected to test the convergence accuracy of the IASO algorithm.The results showed that the IASO algorithm has good convergence accuracy and speed,and can better solve optimization problems in daily life.(4)This study takes the summer wind photovoltaic and load output situation of a certain region as an example,and designs five different optimization scheduling scenarios under grid connection and island scheduling strategies by considering the economic and environmental protection of microgrids and demand side response.Using the IASO algorithm as an example solving algorithm,through comparative simulation analysis with ASO and PSO algorithms,it has been proven that the IASO algorithm proposed in this study has better reliability and superiority in microgrid optimization scheduling,and can effectively improve the economic and environmental protection of microgrid operation.