| 引用本文: | 王子轶,陈新岗,马志鹏,等.基于模糊熵的10 kV配电网接地故障定位研究[J].电力系统保护与控制,2026,54(05):76-87. |
| WANG Ziyi,CHEN Xingang,MA Zhipeng,et al.Research on ground fault location in 10 kV distribution networks based on fuzzy entropy[J].Power System Protection and Control,2026,54(05):76-87 |
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| 摘要: |
| 为提高10 kV配电网接地故障定位装置的稳定性、响应速度,需研究更优的定位方法并设计配套硬件装置。首先分析了不同中性点接地方式(不接地和经消弧线圈接地)下单相和两相接地故障的暂态零序电流特征。然后通过理论推导和Simulink仿真验证了模糊熵在识别零序电流变化上的优越性能(连续模糊隶属函数抗噪能力强、参数敏感性低、非线性动力学特征解析能力强)。接着根据计算的相邻检测点熵值比,结合模糊熵故障区间定位原理和区内非故障阈值(0.75~1.2),实现故障区间的高效、稳定识别。最后开发以STM32F103C8T6开发板为核心装置,并在10 kV配电网模拟平台上设置中性点不接地和经消弧线圈接地两种工况。实验结果表明,该装置能准确识别出首段、尾段和检测点间的单相和两相接地故障,其具有良好的速动性与稳定性,抗噪能力强,定位准确率受通信传输误差影响小。 |
| 关键词: 配电网接地故障 零序电流 模糊熵 故障定位 |
| DOI:10.19783/j.cnki.pspc.250651 |
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| 基金项目:重庆市自然科学基金项目资助(CSTB2023NSCQ- MSX0337);重庆市教育委员会科学技术研究项目资助(KJZD- K202101103);重庆理工大学研究生教育高质量发展项目资助(gzlcx20253136) |
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| Research on ground fault location in 10 kV distribution networks based on fuzzy entropy |
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WANG Ziyi1, CHEN Xingang1, 2, MA Zhipeng1, 2, AO Yi1, KUANG Lu1, MA Lintao1
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1. School of Electrical and Electronic Engineering, Chongqing University of Technology, Chongqing 400054, China;
2. Chongqing Engineering Research Center of Energy Internet, Chongqing 400054, China
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| Abstract: |
| To improve the stability and response speed of ground fault location devices in 10 kV distribution networks, it is necessary to investigate more effective fault location methods and design corresponding hardware devices. First, the transient zero-sequence current characteristics of single-phase and two-phase ground faults are analyzed for different neutral point grounding modes (i.e., ungrounded and grounded through an arc suppression coil). Subsequently, the superior performance of fuzzy entropy in identifying changes in zero-sequence current is verified through theoretical derivation and Simulink simulations, demonstrating its strong noise immunity due to a continuous fuzzy membership function, low parameter sensitivity, and strong capability in analyzing nonlinear dynamic characteristics. Then, based on the calculated entropy ratio between adjacent detection points, combined with the principle of fuzzy entropy fault section location and an internal non-fault threshold (0.75~1.2), efficient and stable identification of the fault section is achieved. Finally, a device centered on the STM32F103C8T6 development board is developed, and two operating conditions (ungrounded neutral point and neutral point grounded through an arc suppression coil) are set up on a 10 kV distribution network simulation platform. Experimental results show that the device can accurately identify single-phase and two-phase ground faults in the first section, the last section, and between detection points. The device exhibits fast operation, high stability, strong noise immunity, and high location accuracy with minimal influence from communication transmission errors. |
| Key words: distribution network ground fault zero sequence current fuzzy entropy fault location |