电气传动2025，Vol.55Issue(2)：26-33,8.DOI:10.19457/j.1001-2095.dqcd25042
基于定向过流继电器的自适应模糊定向蝙蝠算法
Adaptive Fuzzy Directional Bat Algorithm Based on Directional Overcurrent Relays
摘要
Abstract
Despite bringing several benefits to modern power systems,distributed generation(DG)and microgrids cause a significant impact on the operation of power distribution networks,especially with regard to the protection system.In this new scenario,the adoption of smart protection systems capable of incorporating advanced control and protection mechanisms is of paramount importance for ensuring the automatic reconfiguration and restoration of the power grid when undesirable phenomena like faults occur.Considering this scenario,a novel metaheuristic called adaptive fuzzy directional bat algorithm(AFDBA)was proposed,which can calculate the optimal setting of directional overcurrent relays(DOCRs)in the power grid without the need for tuning the initial parameters.The technique was applied to two case studies,that is,the 3-bus and 30-bus test systems.The algorithm performance was compared with that of mayfly optimization algorithm,elephant herding optimization(EHO),bat algorithm(BA),and directional bat algorithm(DBA).The results evidence that the proposed approach has high convergence speed,high robustness,and acceptable computational burden,while providing the proper coordination of protection systems.关键词
分布式发电/优化/保护系统/微电网/自适应模糊定向蝙蝠算法Key words
distributed generation(DG)/optimization/protections systems/microgrids/adaptive fuzzy directional bat algorithm(AFDBA)分类
信息技术与安全科学引用本文复制引用
周毅,方伟,宫旻,夏雪松,陈艳玲,韩妮..基于定向过流继电器的自适应模糊定向蝙蝠算法[J].电气传动,2025,55(2):26-33,8.基金项目
国家自然科学基金(52167010) （52167010）
