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Fault Location for Distribution Network Based on Binary Electromagnetism-like Mechanism Algorithm
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Fu WEI1, 2, Xiang-jun ZENG1, 2, *, Peng-huan MA3, Qiu-xin LI1, 2, Zhong-xian CHEN1, 2
Science Technology and Engineering | 2025, 25(22) : 9381 - 9388
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Science Technology and Engineering | 2025, 25(22): 9381-9388
• Papers·Electrical Technology •
Fault Location for Distribution Network Based on Binary Electromagnetism-like Mechanism Algorithm
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Fu WEI1, 2, Xiang-jun ZENG1, 2, *, Peng-huan MA3, Qiu-xin LI1, 2, Zhong-xian CHEN1, 2
Affiliations
  • 1 College of Electrical and New Energy, China Three Gorges University, Yichang 443000, China
  • 2 Hubei Key Laboratory of Cascaded Hydropower Stations Operation & Control, Yichang 443000, China
  • 3 State Grid Ningxia Electric Power Research Institute, Yinchuan 750011, China
Published: 2025-08-08 doi: 10.12404/j.issn.1671-1815.2407686
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To address the issues of slow convergence speed and susceptibility to local optima in ELM (electromagnetism-like mechanism) algorithm for fault location problems in distribution networks, BELM (binary electromagnetism-like mechanism) algorithm was proposed. First, the Sobol sequence was introduced to initialize the population to ensure the quality of the initial population. Second, based on the fitness value, the population was divided into a high-quality population and an ordinary population, and an optimal particle guidance strategy and a local search strategy based on the XOR operation were adopted for these two sub-populations, respectively, the former guides the high-quality particles to the potentially optimal location to accelerate the convergence speed, the latter performs global exploration and enriches the diversity of the population by exchanging information with the elite particles. Finally, the search efficiency of the algorithm was further improved by the improvement of the combined force calculation and particle movement rules. The simulation results show that compared with other algorithms, the proposed algorithm demonstrates superior accuracy and rapid convergence in locating faults within distribution networks.

distribution network  /  Sobol sequence  /  local search  /  fault location  /  electromagnetism-like mechanism algorithm
Fu WEI, Xiang-jun ZENG, Peng-huan MA, Qiu-xin LI, Zhong-xian CHEN. Fault Location for Distribution Network Based on Binary Electromagnetism-like Mechanism Algorithm[J]. Science Technology and Engineering, 2025 , 25 (22) : 9381 -9388 . DOI: 10.12404/j.issn.1671-1815.2407686
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Article Info
doi: 10.12404/j.issn.1671-1815.2407686
  • Receive Date：2024-10-16
  • Online Date：2026-02-11
  • Published：2025-08-08
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History
  • Received：2024-10-16
  • Revised：2025-05-14
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Affiliations
    1 College of Electrical and New Energy, China Three Gorges University, Yichang 443000, China
    2 Hubei Key Laboratory of Cascaded Hydropower Stations Operation & Control, Yichang 443000, China
    3 State Grid Ningxia Electric Power Research Institute, Yinchuan 750011, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
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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