中图分类号：TM564文献标识码：ADOI:10.19339/j.issn.1674-2583.2026.02.011
中文引用格式：熊学兵. 配电柜局部放电检测方法的优化设计［J］.集成电路应用，2026，43（2）：60-64.
英文引用格式：Xiong Xuebing. Optimized design of partial discharge detection method for distribution cabinets［J］.Application of IC，2026，43（2）：60-64.

Optimized design of partial discharge detection method for distribution cabinets

Abstract： Partial discharge is a key factor that causes insulation deterioration and equipment failure in distribution cabinets. Precise and efficient detection technologies are crucial for ensuring the safe and stable operation of the distribution network. This paper proposes a systematic optimization scheme for partial discharge detection in distribution cabinets, addressing the limitations of traditional detection methods such as weak anti-interference ability, low positioning accuracy, and insufficient real-time performance. The core of the scheme includes optimizing the “optical fiber sensing + ultra-high frequency + transient ground voltage” multi-modal sensor system, the “coarse screening-fine screening-fusion” hierarchical multi-source signal fusion strategy, and the discharge recognition algorithm based on the improved residual network and the fiber-ultra-high frequency hybrid positioning algorithm. Experimental verification and engineering application have shown that the discharge recognition accuracy of the optimized scheme reaches 95.3%; the false alarm rate can be controlled within 4.7%; the average positioning error is only 4.2 cm; the anti-interference ability can adapt to a strong interference environment of 50 dB. And compared with traditional methods, the recognition accuracy is improved by 11%~13%; the positioning accuracy is increased by more than 66%; and the average response time is shortened by 50%.

Key words : distribution cabinet;partial discharge;sensor fusion;intelligent algorithm