Abstract: The large-scale integration of distributed power sources complicates the structure of the distribution network, resulting in increased difficulty in fault localization. A distribution network partition fault location method with improved chimpanzee algorithm is proposed. Firstly, Iteration mapping is introduced to improve the initialized population quality, and then Cauchy variation and backward learning strategy as well as simplex method are added to improve the local exploitation capability and exploration capability of the algorithm. The switching function and objective function containing distributed power supply are established, and the region is divided according to the correspondence mechanism between the fault point and the switching function. Finally, it is verified by simulation that the proposed method improves the solution speed by 43.05% on average and the accuracy by 1.17% on average compared with the traditional chimpanzee algorithm partitioning localization method. It is shown that the method can accurately and rapidly locate the faulty zones with high fault tolerance.

Key words: distribution generator, distribution network, fault location, subregion, improved chimpanzee algorithm