Fault Location Method of Distribution Network Based on Improved Adaptive Genetic Algorithm

When there is a power failure in distribution network, the service level of power supply enterprises is reflected whether the fault location can be located quickly and accurately and the power supply can be restored. At present, in the study of distribution network fault location, intelligent algorithm based on genetic algorithm is the research trend. This paper proposes an improved method to solve the problems of traditional genetic algorithm, such as local convergence and poor optimization speed. By introducing adaptive genetic operation adjustment coefficient and individual selection in the process of mutation, the algorithm can effectively improve the speed of optimization, and enhance the global optimization ability through the comprehensive consideration of population diversity level, and avoid the algorithm falling into the local optimal solution. Finally, a 20-node power distribution network is simulated to verify the effectiveness and superiority of the proposed method.