Power Equalization Research Based On PSO Algorithm In Edge Computing Environment

Microgrid is an important part of smart grid,and it plays an increasingly important role in the development of smart energy technology.The microgrid system combines various distributed energies to use,has the advantages of high energy efficiency,cleanliness,and environmental protection,which is conducive to building a green and sustainable society.Aiming at the real-time,reliability and security issues in the microgrid system,this paper combines edge computing technology with the microgrid system,and optimizes the established objective function through the swarm intelligence optimization algorithm,which improves the real-time and economy of the microgrid,that is conducive to the intelligent management of the micro-grid,thereby improving the operating efficiency and safety of the micro-grid,and achieving the balance of power and consumption of the micro-grid.The main research work of this paper is as follows:(1)Analyzing the working characteristics of the microgrid,user demand characteristics,various cost calculation methods during the operation of the microgrid,and studying the principle and characteristics of the PSO(Particle Swarm Optimization)algorithm;(2)The overall microgrid system architecture including each distributed power source based on the edge computing environment is constructed,the output power function model of each power source was established,and the four goals based on the microgrid system are completed.Function establishment,designing four operating strategies based on electricity price and grid-connected and off-grid modes,and establishing an algorithm model for optimizing the objective function;(3)Example simulation.Based on the 24-hour power load of a typical spring day in a residential area and the relevant local environmental parameters,the relevant formula parameters of each distributed power source and the objective function are set according to the actual situation,and the established objective function is simulated and realized by the PSO algorithm to obtain each objective the optimal result of the function and the power output of each distributed power source under that result can realize the balance of supply and demand in the electricity market on the basis of economy;(4)Building the microgrid system architecture in the edge computing environment,the hardware environment including each distributed power supply and the software development environment including the QT integrated development environment,and then collecting data in real time,storing the database,and using the PSO algorithm to target the target optimization,verifing the usability and economy of the built model.This subject belongs to a module of the laboratory subject,that is,the power balance module.It takes user needs as the starting point and achieves economy as the goal.First,the objective function model and intelligent algorithm of the microgrid system are studied,and then the simulation results are realized.The verification is implemented under the laboratory’s microgrid system management platform,which realizes the real-time and economic efficiency of the edge computing-oriented microgrid system based on the balance of supply and demand.