Research On Optimal Allocation Strategy Of Wind And Solar Energy Storage Microgrid Capacity

In recent years,clean energy sources such as wind power,photovoltaic,and energy storage have been widely constructed and developed in China.The refore,this study established a capacity optimization configuration model for wind and solar energy storage microgrid systems,proposed a chaotic adaptive dung beetle algorithm,and used the algorithm to solve the capacity configuration of the model.The main research contents are as follows:Firstly,simulation experiments were conducted on each subsystem of the solar energy storage microgrid system.Using a model of the relationship bet ween wind turbine output and wind speed,photovoltaic output and light intensity,and citing typical examples for simulation experiments,the power data of a single wind turbine and photovoltaic panel are obtained.The charging and discharging efficiency models of batteries and supercapacitors,as well as the rated capacity and minimum capacity models,are introduced.Secondly,a mathematical model is established with the goal of optimizin g the life cycle economy of the integrated solar energy storage system.This model takes the number of subsystems as a decision variable,taking into account the constraints of load power shortage rate,wind and light rejection rate,capacity constraints of the energy storage system,power constraints of each subsystem of the solar energy storage microgrid,and the floor area of the solar energy storage system during the cycle.Next,a chaotic adaptive dung beetle algorithm is proposed to solve the problems of uneven initial population distribution and single updating direction of dung beetle behavior and position in traditional dung beetle algorithms.The improvement strategy of the algorithm includes Sine chaotic mapping,using adaptive weights to set coefficients for the generation of the initial dung beetle population and the reproduction and foraging behavior of dung beetles,and using 20 test functions to test the improvement effect of the chaotic adaptive dung beetle algorithm.Finally,based on the power data of wind turbines and photovoltaic panels obtained from simulation experiments,and citing the data changes required by typical loads in the same region,the chaotic adaptive dung beetle algorithm is used to solve the capacity optimization configuration problem of the wind energy storage integrated energy system,and the configuration quantity and cost structure of each subsystem are quantitatively analyzed.