Research On Fault Location Of Distribution Network Based On Immune Algorithm

With the continuous investment of new energy,more and more distributed power sources are connected to the distribution network,which makes the traditional single-source radiant distribution network become multi-source and multi-direction distribution network.The fast and accurate fault location of distribution network has important theoretical and practical significance to ensure the power supply reliability of power system.Based on the national natural science foundation of "considering unbalanced nonlinear configuration and coordinated control strategy for micro power grid capacity study(61903129),with the support of containing distributed power supply more access to the power distribution network fault section location as the research object,focus on improve the speed and accuracy of fault section location,the fault section locating method for further study of the distribution network.The main work and research results of this paper are as follows:(1)The fault section location principle of distribution network is analyzed,and the fault section location process based on intelligent algorithm is designed.Expounds the principle of the standard immune algorithm and its mathematical implementation,design based on the standard immune algorithm of distribution network fault section locating process,three feeder in open loop,and in the distribution network with distributed power distribution network fault section locating tested,and the standard immune algorithm and genetic algorithm is applied to the test results of the comparative analysis of the test results show that the standard immune algorithm under the single fault and small amounts of information distortion can accurately locate the fault section,positioning speed and positioning accuracy is superior to genetic algorithm;In the case of multi-point fault and multi-point state distortion,its positioning speed and accuracy are still to be improved.(2)Combining the advantages of particle swarm optimization(pso)algorithm and immune algorithm,the immune algorithm is improved,and put forward a kind of immune algorithm and particle swarm algorithm of double population evolution algorithm,designs the fault section location based on improved immune algorithm process,three feeder in open loop,and in the distribution network with distributed power distribution network fault section locating tested,and the improved immune algorithm is compared with the standard immune algorithm and genetic algorithm,and the results show that the improved immune algorithm under the double fault and two information distortion can accurately locate the fault section,positioning speed and accuracy is improved;When the number of fault points and distortion increases,the positioning accuracy decreases with the complexity of the fault,and the positioning speed and accuracy of the improved immune algorithm can be further improved.(3)In order to improve the performance of the improved immune algorithm,a hierarchical localization method based on the improved immune algorithm and exhaustive method is proposed.Constructs the fault section layered model and thesolution strategy are analyzed,based on the hierarchical locating method of fault location process,in the distributed power supply of power distribution network in the fault section location and test,and the layered positioning method and the improved immune algorithm,has carried on the comparative analysis of standard immune algorithm and genetic algorithm,the results show that when multiple faults and multiple information distortion layer positioning method can accurately locate the fault section,positioning speed and accuracy are better than other algorithms.