Fault location of active distribution network hierarchical model based on AC-DBO

Abstract Aiming at the problems such as slow convergence speed, precocious convergence and poor fault tolerance performance of Dung beetle optimizer (DBO) algorithm in solving active distribution network fault location, a fault location method of active distribution network hierarchical model based on Adaptive Chaotic DBO (AC-DBO) algorithm is proposed. Firstly, an improved Tent chaotic map is introduced to initialize the population, so as to improve the distribution quality of the initial population in the search space and improve its global search efficiency. Secondly, the adaptive T-distribution mutation strategy is integrated into the location update of dung beetles to enhance the global exploration and local development capabilities of the algorithm. Finally, the equivalent hierarchical model of active distribution network is established by referring to the ‘black box’ processing method, which reduces the solving dimension of the algorithm and improves the location rate. The simulation results show that compared with the AC-DBO algorithm without hierarchical processing and the DBO algorithm plus hierarchical strategy, the AC-DBO hierarchical location model has obvious advantages in solving speed, accuracy and fault tolerance, which is especially suitable for solving the fault location problem of active distribution network.