Abstract:In order to solve the problem of the fault location of distribution network with distributed power supply, an improved bacterial foraging algorithm based on differential evolution is proposed. Firstly, the switching function which can dynamically adapt to multiple distributed power supply switching is constructed for distributed power supply and cutting problem. Then, combining the idea of regional division, the fault information is selected by dividing the branches of each distribution network into active tree and passive tree to reduce the solution space and improve the speed of fault location, Also, considering the problem of low precision and poor global search capability for bacterial foraging algorithms, the variation and crossover mechanisms of differential evolution is used, Through the coordination of diversity control and cross operation, the bacterial foraging algorithm can be used to improve the coordination between the refined search and the extended new district , and improve the optimization precision and global optimization ability of the algorithm, which is suitable for the complex distribution network containing distributed power. Finally, The fault location method is simulated by a numerical example, and the results show that the algorithm can be accurately positioned and has certain validity and fault tolerance.