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Study on acoustic-electric joint localization method for transformer partial discharge based on snake optimization algorithm
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Linglong CAI1, Zhiqin MA1, Zhangquan RAO2, Hengchao HUANG3, Jianming LIU4, Junhao LI3, *, Yuhui JIN4, Zhiyun WU2
Insulating Materials | 2026, 59(5) : 113 - 121
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Insulating Materials | 2026, 59(5): 113-121
• Test and Analysis •
Study on acoustic-electric joint localization method for transformer partial discharge based on snake optimization algorithm
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Linglong CAI1, Zhiqin MA1, Zhangquan RAO2, Hengchao HUANG3, Jianming LIU4, Junhao LI3, *, Yuhui JIN4, Zhiyun WU2
Affiliations
  • 1Guangdong Key Enterprise Laboratory of Electric Power Equipment Reliability, Guangzhou 510080, China
  • 2Electric Power Research Institute of Guangdong Power Grid Co., Ltd., Guangzhou 510080, China
  • 3School of Electrical Engineering, Xi′an Jiaotong University, Xi′an 710049, China
  • 4Guangdong Power Grid Co., Ltd., Guangzhou 510080, China
Published: 2026-05-20 doi: 10.16790/j.cnki.1009-9239.im.2026.05.013
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To improve the accuracy of locating internal partial discharge sources in transformers, this paper proposed an acoustic-electric joint localization method for transformer partial discharge based on the snake optimization (SO) algorithm. A three-dimensional model of the partial discharge source inside a transformer was established, and the localization performance of different methods for typical partial discharge source positions was tested through simulations using ultra-high frequency (UHF) sensors and ultrasonic sensors. The results show that compared with traditional localization algorithms, the SO algorithm exhibits stronger global search capability and faster convergence performance, and can better escape local optimum traps. Using a transformer partial discharge localization experimental platform to simulate the partial discharge process in a real transformer, it is found that the comprehensive localization error of the proposed acoustic-electric joint localization method based on the SO algorithm is consistently below 50 mm, with high localization stability.

transformer  /  partial discharge  /  snake optimization algorithm  /  localization  /  acoustic-electric joint
Linglong CAI, Zhiqin MA, Zhangquan RAO, Hengchao HUANG, Jianming LIU, Junhao LI, Yuhui JIN, Zhiyun WU. Study on acoustic-electric joint localization method for transformer partial discharge based on snake optimization algorithm[J]. Insulating Materials, 2026 , 59 (5) : 113 -121 . DOI: 10.16790/j.cnki.1009-9239.im.2026.05.013
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doi: 10.16790/j.cnki.1009-9239.im.2026.05.013
  • Receive Date：2025-05-28
  • Online Date：2026-09-10
  • Published：2026-05-20
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  • Received：2025-05-28
  • Revised：2025-08-07
Affiliations
    1Guangdong Key Enterprise Laboratory of Electric Power Equipment Reliability, Guangzhou 510080, China
    2Electric Power Research Institute of Guangdong Power Grid Co., Ltd., Guangzhou 510080, China
    3School of Electrical Engineering, Xi′an Jiaotong University, Xi′an 710049, China
    4Guangdong Power Grid Co., Ltd., Guangzhou 510080, China
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https://castjournals.cast.org.cn/joweb/jycl/EN/10.16790/j.cnki.1009-9239.im.2026.05.013
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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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