Research on Section Positioning of PSO Distribution Network with Distributed Power Resources Based on Value"+"Positioning Model
By introducing the value"+"switching function,a weighted summation model is constructed to make the state value of distribution network more accurately reflect the actual operation.In the optimization process,the particle position and velocity of Particle Swarm Optimization(PSO)are dynamically adjusted to adapt to the topol-ogy and load distribution of the distribution network,so as to achieve the efficient integration and coordinated op-eration of distributed power supply.The experimental results show that the improved PSO shows remarkable adapt-ability and effectiveness compared with the traditional algorithm in several test cases,the average fitness is increased by 15%~25%,and the convergence speed is also significantly improved.This research provides a new idea and method for optimal dispatching of distributed power distribution network,which can effectively reduce power transmission loss and improve energy utilization efficiency.