Research On Fault Location And Reconstruction Of Distribution Network Based On Particle Swarm Optimization

As a result of advances in distributed generation technology,the rate at which distributed power sources are connected to the grid is now accelerating.Although the grid connection of DG has brought some benefits,the topology of the network has become more and more complex,and the current distribution network fault location and fault recovery reconfiguration technology can hardly meet the requirements,so it is inevitable to study the fault location and reconfiguration method for distribution networks containing DG.Therefore,in this paper,we take DG-containing distribution networks as the object of research,and investigate the methods for locating faults and reconstructing them quickly and accurately after they occur.The main research elements of this paper are as follows.(1)The background and significance of this paper are introduced,and the current status of research at home and abroad is explained in terms of distribution network fault location and distribution network fault recovery reconstruction,and the advantages and disadvantages of these methods are analysed.(2)The types and characteristics of distributed power sources are analysed,and the forms and strategies of their grid connection and the impact on the distribution network after grid connection are studied.(3)The basic principles of the particle swarm algorithm are analysed,and a series of optimisation measures are adopted for the inertia weights and learning factors to address the shortcomings of the particle swarm algorithm,and the adaptive genetic algorithm is combined with the particle swarm algorithm to enhance the performance of the algorithm.A fault location model is constructed for DG-containing distribution networks and the improved algorithm is used to solve the location model.After simulation tests,the experimental results show that the proposed fault location method can accurately locate multiple fault types such as single faults and multiple faults in a short time and is fault tolerant to distorted information.(4)Commonly used tide calculation methods are analysed.Based on the radial structure of the distribution network,the forward back substitution method is selected as the method of load flow calculation in this paper,and its computing capability is improved by introducing the optimization strategy of node hierarchy.The load flow calculation model is also constructed according to the different types of grid-connected nodes of DG.Finally,simulation experiments are carried out in DG-containing distribution networks to test the practicality of the improved method.(5)The basic principles of the quantum particle swarm algorithm are analysed,and in order to improve its optimisation capability,optimization measures such as chaotic mapping,Levy flight strategy and Corsi variation are adopted.Subsequently,a distribution network fault recovery reconstruction model is built and the sum of active network loss and voltage deviation is used as the optimisation objective of the algorithm.The results show that the proposed fault recovery reconstruction method is able to restore power to non-faulted areas and reduce network losses after a fault,and has good effects on improving the voltage distribution and amplitude of nodes.