Research On Optimization Of Energy Management In Substation Area Based On Photovoltaic Energy Storage Cells

In the current stage of social development,with the continuous increase in the scale and quantity of photovoltaic grid connection,microgrids mainly based on photovoltaic power generation have gradually attracted the attention of researchers.Based on the above background,this paper builds a photovoltaic energy storage battery system based on the2.8MWp distributed photovoltaic power generation capacity expansion project in a county of Linyi City,and conducts energy management on it.Combined with the improved particle swarm optimization algorithm,it verifies the feasibility of improving energy management and improving economic benefits.The main research work is as follows:This article first elaborates on the structure of the photovoltaic,battery,and inverter modules in the microgrid based on the photovoltaic panels and transformers applied in the project,and outlines their basic principles through internal structure.And using MATLAB/Simulink to model the photovoltaic power generation module,verify the impact of temperature and light intensity on photovoltaic power generation,and achieve maximum power tracking;The charging and discharging characteristics of the built battery model were verified in the battery section,and the charging and discharging of the battery under constant current conditions were achieved by building the model;The transformer section verifies the effectiveness of the inverter current and grid side voltage of the built model.Secondly,the paper introduces the topology of the PV generation and energy storage integrated microgrid,and proposes control strategies for grid-connected and islanded modes.A simulation model of the PV and storage system is constructed in MATLAB/Simulink,and the main operating modes are analyzed,including PV generation,grid-connected inversion,and energy flow.The effectiveness of the model and control strategies is validated.Finally,from the perspective of comprehensive economic optimization,set energy management strategies for the system.Combined with the 2.8MWp distributed photovoltaic power generation capacity expansion project in a county or district of Linyi City,based on the typical days of summer and autumn operation,taking 24 hours as the time scale,the cost and constraints of micro grid operation are considered,and the particle swarm optimization algorithm combined with asymmetric learning factors and linear decreasing inertia weight is used to analyze and solve the example,further verifying the effectiveness of the optical storage system constructed,Obtain the optimal output power of each system that meets the objective function.