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HHT-based Fault Detection Scheme for AC-DC Microgrid
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Jianwen ZHANG1, 2, Yijiu BAO1, Jiajie ZANG3, Jianqiao ZHOU2, Gang SHI2, Xingwu YANG1
Journal of Power Supply | 2025, 23(8) : 317 - 328
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Journal of Power Supply | 2025, 23(8): 317-328
• Reliability and Diagnostics •
HHT-based Fault Detection Scheme for AC-DC Microgrid
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Jianwen ZHANG1, 2, Yijiu BAO1, Jiajie ZANG3, Jianqiao ZHOU2, Gang SHI2, Xingwu YANG1
Affiliations
  • 1.School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
  • 2.Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education (Shanghai Jiao Tong University), Shanghai 200240, China
  • 3.School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
Published: 2025-12-30 doi: 10.13234/j.issn.2095-2805.2025.8.317
Outline
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The AC-DC microgrid can effectively facilitate the applications of renewable energy sources. However, the strong electrical coupling between the AC and DC sides caused by an interconnected converter complicates the fault characteristics within the system, threatening the system’s safe operation. The traditional fault detection schemes based on the fault characteristics may not have enough sensitivity or rapidity to meet the system’s fault detection and protection requirements. Notably, the system exhibits significant fault characteristics before blocking the interconnected converter’s IGBTs in the AC-DC microgrid. Therefore, with the combination of grounding schemes for the system and the AC-DC microgrid’s electrical coupling characteristics, the feasibility of a novel fault detection scheme for the AC-DC microgrid based on the Hilbert-Huang transform (HHT) spectrum and energy amplitude is explored, which is aimed at the AC-DC system’s characteristics during the transient process before blocking the IGBTs under fault. Through simulation verification, it is found that the proposed HHT-based fault detection scheme can realize rapid and accurate identification of fault types for the AC-DC microgrid within 2 ms, which effectively improves the safety and reliability of the microgrid.

AC-DC microgrid  /  interconnected converter  /  analysis of fault coupling characteristics  /  Hilbert-Huang transform (HHT)  /  fault detection
张建文, 包义玖, 臧甲杰, 周剑桥, 施刚, 杨兴武. 一种基于HHT的交直流微电网故障检测方案. 电源学报, 2025 , 23 (8) : 317 -328 . DOI: 10.13234/j.issn.2095-2805.2025.8.317
Jianwen ZHANG, Yijiu BAO, Jiajie ZANG, Jianqiao ZHOU, Gang SHI, Xingwu YANG. HHT-based Fault Detection Scheme for AC-DC Microgrid[J]. Journal of Power Supply, 2025 , 23 (8) : 317 -328 . DOI: 10.13234/j.issn.2095-2805.2025.8.317
  • National Key R&D Program of China for Intergovernmental International Scientific and Technological Innovation Cooperation(2019YFE0104800)
  • National Natural Science Foundation of China(52277193)
  • Shanghai Magnolia Talent Program Pujiang Project(23PJ1404000)
  • CATL Future Energy (Shanghai) Research Institute School-enterprise Cooperation Project
Year 2025 volume 23 Issue 8
37
5
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Article Info
doi: 10.13234/j.issn.2095-2805.2025.8.317
  • Receive Date:2023-09-21
  • Online Date:2026-10-26
  • Published:2025-12-30
Article Data
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History
  • Received:2023-09-21
  • Revised:2023-11-23
  • Accepted:2023-12-04
Funding
National Key R&D Program of China for Intergovernmental International Scientific and Technological Innovation Cooperation(2019YFE0104800)
National Natural Science Foundation of China(52277193)
Shanghai Magnolia Talent Program Pujiang Project(23PJ1404000)
CATL Future Energy (Shanghai) Research Institute School-enterprise Cooperation Project
Affiliations
    1.School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
    2.Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education (Shanghai Jiao Tong University), Shanghai 200240, China
    3.School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, 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
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Percentage of
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属
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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