Research on Fault Location in DC Distribution Network Based on Adaptive Artificial Bee Colony Slime Mould Algorithm

To address the problems of slow convergence speed, easy to fall into local minima and low accuracy presented by previous algorithms in DC distribution network fault location, this paper adopts improved artificial bee colony slime mould algorithm (SMA) improve solve. On basis SMA, an adaptive adjustable feedback factor crossover operator are introduced speed; (ABC) is search ability jump out minima, (ISMA) formed. Firstly, based on six-terminal topology, a mathematical model bipolar short-circuit as well single-pole grounded established occurring between G-VSC W-VSC example. Then principle ISMA detail, suitable fitness function measure location network. Finally, experimental simulations conducted obtain points from optimization compare them with actual values verify algorithm. In addition, efficiency robustness further verified comparing other algorithms.