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Adaptive Fuzzy Directional Bat Algorithm Based on Directional Overcurrent Relays
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Yi ZHOU, Wei FANG, Min GONG, Xuesong XIA, Yanling CHEN, Ni HAN
Electric Drive | 2025, 55(2) : 26 - 33
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Electric Drive | 2025, 55(2): 26-33
Adaptive Fuzzy Directional Bat Algorithm Based on Directional Overcurrent Relays
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Yi ZHOU, Wei FANG, Min GONG, Xuesong XIA, Yanling CHEN, Ni HAN
Affiliations
  • State Grid Hubei Electric Power Co.,Ltd.Shennongjia Power Supply Company,Shennongjia 424400,Hubei,China
Published: 2025-02-20 doi: 10.19457/j.1001-2095.dqcd25042
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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.

distributed generation(DG)  /  optimization  /  protections systems  /  microgrids  /  adaptive fuzzy directional bat algorithm(AFDBA)
Yi ZHOU, Wei FANG, Min GONG, Xuesong XIA, Yanling CHEN, Ni HAN. Adaptive Fuzzy Directional Bat Algorithm Based on Directional Overcurrent Relays[J]. Electric Drive, 2025 , 55 (2) : 26 -33 . DOI: 10.19457/j.1001-2095.dqcd25042
Year 2025 volume 55 Issue 2
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doi: 10.19457/j.1001-2095.dqcd25042
  • Receive Date:2023-03-21
  • Online Date:2025-10-29
  • Published:2025-02-20
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  • Received:2023-03-21
  • Revised:2023-07-14
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    State Grid Hubei Electric Power Co.,Ltd.Shennongjia Power Supply Company,Shennongjia 424400,Hubei,China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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