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Maintenance Critical Line Identification Method Based on FBWM-TOPSIS in Distribution Network
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Zheng CHEN, Yangjin WU, Dingjie HUANG, Chaojun WANG, Xinhui FU
Electric Drive | 2024, 54(5) : 64 - 72
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Electric Drive | 2024, 54(5): 64-72
Maintenance Critical Line Identification Method Based on FBWM-TOPSIS in Distribution Network
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Zheng CHEN, Yangjin WU, Dingjie HUANG, Chaojun WANG, Xinhui FU
Affiliations
  • Ningde Power Supply Company,State Grid Fujian Electric Power Co.,Ltd.,Ningde 352100,Fujian,China
Published: 2024-05-20 doi: 10.19457/j.1001-2095.dqcd24737
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Under the background of limited resources and time,equipment maintenance is considered as an effective way to maintain the stable operation of the system. In order to allocate maintenance resources efficiently,the most critical equipment in the system should be identified first namely those that will cause significant consequences if they fail. Firstly,a new multicriteria decision-making(MCDM) scheme was proposed to identify the critical lines in the distribution network. Different from the previous analytic based hierarchy process,the best-worst method (BWM) was adopted to obtain the weight of the system reliability index according to the knowledge and judgment of experts. In addition,the fuzzy theory was introduced into the traditional best-worst method to overcome the general uncertainty in expert judgment and decision making. Finally,the technique for order preference by similarity to an ideal solution technology was used to prioritize the maintenance of IEEE14 distribution network lines. The proposed method can determine the priority of system maintenance more quickly and accurately.

multicriteria decision-making(MCDM)  /  best-worst method(BWM)  /  distribution network maintenance  /  critical lines
Zheng CHEN, Yangjin WU, Dingjie HUANG, Chaojun WANG, Xinhui FU. Maintenance Critical Line Identification Method Based on FBWM-TOPSIS in Distribution Network[J]. Electric Drive, 2024 , 54 (5) : 64 -72 . DOI: 10.19457/j.1001-2095.dqcd24737
Year 2024 volume 54 Issue 5
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Article Info
doi: 10.19457/j.1001-2095.dqcd24737
  • Receive Date:2022-10-28
  • Online Date:2025-11-26
  • Published:2024-05-20
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  • Received:2022-10-28
  • Revised:2022-11-14
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    Ningde Power Supply Company,State Grid Fujian Electric Power Co.,Ltd.,Ningde 352100,Fujian,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
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占总种数比例
Percentage of
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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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