Research On Improved Particle Swarm Optimization Based On Petri Net In Fault Location Technology Of Distribution Network With DG

With the expansion of power grid scale,distributed generation has a positive development prospect in supply and distribution of power system,which mainly uses wind power generation,photovoltaic power generation and other renewable energy as a new type of green power supply.However,distributed generation(DG)access to distribution network continually,which has an uncertain impact on the safe operation and topology of traditional distribution network and makes fault location technology of power distribution system face more challenges.Therefore,it is of great significance to stUdy a fault location method of distribution network with DG to ensure the safe and reliable power supply to users.In order to adapt to the development scale of distribution network,reduce the impact of fault location of DG accessing to the distribution system and improve the robustness,speed ability and generality of fault location method of distribution network with DG,the improve particle swarm optimization based on Petri net is used to locate fault of distribution network with DG.At first,a brief introduction of basic concept of DG,the interconnection standards and the influence of DG accessing to distribution network have given in this thesis,and the development of fault location technology of distribution network with DG is further studied.Then the application of particle swarm optimization in fault location of distribution network with DG is analyzed.According to the fault information uploaded by Feeder Terminal Unit(FTU)and collected by Supervisory Control and Data Acquisition(SCADA),the expectation flunction and the evaluation function of distribution network with DG are improved,and the particle swarm optimization is used to simulate and analyze the fault location,which is proved to be practical.Secondly,the basic principle,the reasoning process of Petri net and the model establishment and simulation process for a fault location of distribution network with DG are analyzed.The feasibility of the Petri net model in the fault location application of distribution network with DG 1s verified by an example.Finally,considering that the traditional particle swarm optimization is prone to local optimal solution and has slow convergence,the improved parallel particle swarm optimization combined with Petri net theory and particle swarm optimization is used to fault search and location of distribution network with DG.It is verified that the improved particle swarm optimization with Petri net has strong fault searching ability,rapid positioning function and supenor convergence in the application of distribution network fault location with DG through the simulation and analysis of the feasibility,convergence and robustness and the comparative analysis with genetic algorithm and the original particle swarm optimization.