Research On Reactive Power Optimization Of Wind Power Distribution Network Based On Improved MOPSO Algorithm

The momentum of new energy development has been rapid in recent years.Due to the considerable reserves of wind resources in nature and the relatively mature technology to control its power generation operation,wind power has been widely invested in the distribution network.However,the participation of wind power in operation will cause changes in the distribution of power flow in the distribution network to a certain extent,and will also have varying degrees of impact on factors such as system voltage deviation and active power loss.The reactive power optimization of the power system can improve the system network loss and ensure the voltage quality.This paper studies the reactive power optimization problem of the distribution network containing wind power,and uses an improved multi-objective particle swarm optimization algorithm to optimize the reactive power.First,introduce several suitable power flow calculation methods for distribution networks containing wind power and analyze their respective characteristics.Through the study of simplified theoretical models,the factors that cause system loss and voltage changes after wind power grid connection are analyzed.Explain the meaning of common node types in the distribution network,and study the equivalent processing methods of two common wind turbine types in power flow calculation.Second,considering that the solution of multi-objective problems is more in line with the actual needs in the reactive power optimization of the distribution network,in order to obtain the Pareto optimal solution set under the constraints of the distribution network,this paper focuses on the traditional MOPSO algorithm in the process of solving multi-objective problems.There are shortcomings of poor convergence and easy to fall into local optimum.The traditional MOPSO optimization algorithm is improved by using Gaussian mutation and adaptive reference point fusion.Third,establish a mathematical model with the goal of minimizing active power loss and voltage deviation of the distribution network system.The traditional MOPSO algorithm and the improved MOPSO algorithm adopted in this paper are applied to the reactive power optimization model of the wind power distribution network.The system and the 10 k V part of the power distribution system in an urban area are analyzed.The simulation results show that the improved MOPSO algorithm reduces the active power loss and voltage deviation of the two systems,and its effect is better than the traditional MOPSO algorithm;the Pareto frontier optimized by the two algorithms is obtained,the former has better convergence than the latter,and is improved The MOPSO algorithm obtains more optimal individuals than the traditional MOPSO algorithm,which indicates that the former has a stronger ability to maintain diversity than the latter;after optimizing part of the urban distribution network,it provides decision-makers with a set of solutions that can be used for reference.