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Application of Active Current Limiting in Fault Diagnosis of Converter in Power System
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Jiang HU
Journal of Power Supply | 2025, 23(2) : 283 - 289
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Journal of Power Supply | 2025, 23(2): 283-289
Reliability and Diagnostics
Application of Active Current Limiting in Fault Diagnosis of Converter in Power System
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Jiang HU
Affiliations
  • School of Continuing Education, Shanghai Dianji University, Shanghai 200240, China
Published: 2025-03-30 doi: 10.13234/j.issn.2095-2805.2025.2.283
Outline
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To improve the accuracy and efficiency of diagnosis when a converter fails, an active current limiting method is applied to realize the converter fault diagnosis in a power system. Active current limiting control is used to limit the output DC current from the converter to 1.2 times of rated current and limit the fault current, thus improving the stability of fault diagnosis. Based on a prediction model, the fault current distribution characteristics of the converter in the power system are diagnosed, and the bridge arm current is taken as the diagnosis parameter. The difference between the measured bridge arm current and predicted value is compared. If the difference is greater than the threshold value, it is judged that the converter has a fault. Experimental results show that the proposed method had a high accuracy and a high diagnosis efficiency in diagnosing the converter faults in an experimental power system, and the rates of false diagnosis and missed diagnosis were low, indicating that the converter diagnosis effect was satisfying.

Active current limiting  /  power system  /  converter  /  fault diagnosis  /  prediction model  /  bridge arm current
Jiang HU. Application of Active Current Limiting in Fault Diagnosis of Converter in Power System[J]. Journal of Power Supply, 2025 , 23 (2) : 283 -289 . DOI: 10.13234/j.issn.2095-2805.2025.2.283
  • Scientific Research Project of Shanghai Municipality Science and Technology Commission(17DZ1201200)
Year 2025 volume 23 Issue 2
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Article Info
doi: 10.13234/j.issn.2095-2805.2025.2.283
  • Receive Date:2022-04-15
  • Online Date:2025-07-01
  • Published:2025-03-30
Article Data
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History
  • Received:2022-04-15
  • Accepted:2022-05-05
Funding
Scientific Research Project of Shanghai Municipality Science and Technology Commission(17DZ1201200)
Affiliations
    School of Continuing Education, Shanghai Dianji University, Shanghai 200240, China
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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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