Research On Distribution Network Reconfiguration Based On Improved Particle Swarm And Genetic Algorithm

Power distribution system is directly connected with the users.For a long time,the power supply requirements of the distribution network are better and the safety and reliability are higher.Through distribution network reconfiguration,a set of optimal switch combination states existed in the distribution network,and the distribution network structure under the corresponding switch combination has the advantages of lower network loss and better voltage quality.Network reconfiguration can produce great results and it is necessary to study it.First,the topology analysis method of the network structure of power distribution system is studied,and the storage method of branch data is further proposed.In connection with the characteristics of the distribution network,an improved layer-by-layer push forward method is used to calculate the power flow.The relevant example was simulated.Then,introduced the improved particle swarm optimization for power distribution system network reconstruction,simplified the distribution network,and improved the updating rules of PSO with homeomorph diagrams.Then the improved genetic algorithm was introduced in the distribution network.In the application of structure,the distribution network reconfiguration based on ring network coding improved genetic algorithm based on simplified topology of distribution network is proposed.In order to make up for the deficiency of single algorithm,this paper will mix it to solve the problem of network reconfiguration.The objective function is to select the minimum power loss in the distribution network as a mathematical model.The three standard distribution systems IEEEl4,IEEE33,and PG&E69 are simulated using MATLAB software.The simulation results show that the algorithm is feasible and advantageous,and the advantages are obvious.Finally,the knowledge of reactive power optimization is introduced,and the application of GA in reactive power optimization of distribution network is further studied.In order to verify the effect,an example simulation analysis is performed.