Research on Smart Distribution Network Fault Location Method Based on Particle Swarm Optimization Algorithm with Improved Nonlinear Inertia Weights
Fault localization has always been the focus of attention in distribution network operation and maintenance.However,traditional fault localization methods have limitations when facing new challenges such as distributed power supply.To overcome these problems,an improved strategy is proposed for the PSO.The strategy utilizes the nonlinear inertia weight function to optimize the search process of the algorithm,thus improving the global search capability and convergence speed.Combined with the fault localization process of distribution network,the fault localization model based on the improved particle swarm algorithm is proposed,and the IEEE33 node distribution network model containing distributed power supply is established through MATLAB simulation experiments to verify the effectiveness of the method.The experimental results show that the proposed method has achieved significant optimization effects in terms of fault location accuracy and convergence speed,which provides a new idea and solution for improving the efficiency and accuracy of fault location in distribution networks.
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