Fault Localization of Active Distribution Network based on Improved Seagull Optimization Algorithm: *Note: Sub-titles are not captured in Xplore and should not be used

To solve the issues of long localization times, low population diversity, slow convergence rates, and weak fault tolerance in the intelligent optimisation algorithms currently in use for fault localization in active distribution networks, a fault localization technique based on an improved seagull optimisation algorithm is put forth. Firstly, enriching the diversity of initialized seagull populations through an improved logistic chaotic mapping; Secondly, linearize the linear parameter H to better match the convergence process; Next, the sine cosine operator is introduced to balance the algorithm between global search and local development, in order to improve the quality of optimization; Then, implement adaptive t-distribution mutation to improve optimization speed. Finally, the rationality and effectiveness of the proposed method are verified by an example simulation.