Research on Fault Location in DC Distribution Network Based on Hybrid Whale Algorithm

Aiming at the current DC distribution network fault model complexity, lower fault location accuracy, slower convergence speed and greater influence by the transition resistance and other problems, this paper adopts the hybrid whale algorithm to improve and solve the problem. First of all, this paper establishes the mathematical models of inter-pole faults and single-pole grounding faults on the basis of the six-terminal ring DC distribution network model, introduces the local search mechanism of bat algorithm on the basis of whale optimization algorithm, forms the hybrid whale algorithm, formulates the fault localization principle based on the hybrid whale algorithm, and introduces the data culling and data completion methods based on the local outlier factor method and moving average method. Through experimental simulation, the fault localization method is verified to have the advantages of high localization accuracy and small influence by transition resistance, and the localization error under data distortion is reduced through data processing. Finally, the hybrid whale algorithm is compared with other intelligent algorithms to verify that the hybrid whale algorithm has the advantages of high accuracy and fast convergence speed.