中国电力 ›› 2020, Vol. 53 ›› Issue (12): 167-176.DOI: 10.11930/j.issn.1004-9649.202004153

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高压电缆早期间歇性电弧接地故障识别方法

周正雄1, 夏向阳1, 朱鹏1, 李明德2, 黄海2, 陈善求3, 夏君山3, 王瑞琪3   

  1. 1. 长沙理工大学 电气与信息工程学院,湖南 长沙 410114;
    2. 衡阳市产商品质量监督检验所,湖南 衡阳 421000;
    3. 金杯电工股份有限公司,湖南 长沙 410114
  • 收稿日期:2020-04-19 修回日期:2020-07-17 发布日期:2020-12-16
  • 作者简介:周正雄(1995—),男,硕士研究生,从事电力设备故障与诊断研究,E-mail:413946145@qq.com;夏向阳(1968—),男,教授,博士生导师,从事电力电子技术及其应用研究。E-mail:xia_xy@126.com
  • 基金资助:
    国家自然科学基金资助项目(51977014);湖南省自然科学衡阳联合基金项目(2018JJ4025)

Identification Method for Incipient Intermittent Arc Ground Fault of High-Voltage Cables

ZHOU Zhengxiong1, XIA Xiangyang1, ZHU Peng1, LI Mingde2, HUANG Hai2, CHEN Shanqiu3, XIA Junshan3, WANG Ruiqi3   

  1. 1. Department of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410114, China;
    2. Hengyang City Product Quality Supervision and Inspection Institute, Hengyang 421000, China;
    3. Jinbei Electric Co., Ltd., Changsha 410114, China
  • Received:2020-04-19 Revised:2020-07-17 Published:2020-12-16
  • Supported by:
    This work is supported by National Natural Science Foundation of China (No.51977014), Hunan Natural Science Hengyang Joint Fund (No.2018JJ4025)

摘要: 电缆绝缘在不断地局部放电下加速老化,其绝缘缺陷点完全击穿之前会产生瞬时间歇性的接地电弧。针对此类电缆早期故障,提出一种基于时域序列下结合变点检测与改进自适应神经网络的识别方法。首先利用非参数化双边累积和算法(CUSUM)监测三相电流正负向偏移的累积和值来确定异常相,再以改进的自适应线性单元(ADAline)权重算式来表示暂态异常相的谐波含量,利用谐波含量曲线的幅值变化规律和其超过所设阈值的暂态时长可识别出电缆半周波、多周波早期故障。PSCAD/EMTDC仿真结果表明:对于恒阻故障或其他过流扰动,该策略和方法具有良好的区分度,最后以在运电缆现场监测数据验证了算法的故障识别率和抗干扰性。

关键词: 高压电缆, 故障识别, 早期故障, 变点检测, 双边累积和

Abstract: Persistence partial discharge accelerates aging of cable insulation, and the insulation defect point will produce an instantaneous intermittent grounding arc before its complete breakdown. For the incipient fault of this type of cables, a recognition strategy is proposed based on combination of change point detection and improved adaptive neural network under time domain sequence. Firstly, the non-parametric bilateral CUSUM algorithm is used to monitor the cumulative sum of the positive and negative offsets of the three-phase current to determine the abnormal phase. And then the improved ADAline weight formula is used to express the harmonic content of the transient abnormal phase, and the amplitude variation trend of harmonic content curves and its transient duration exceeding the set threshold can be used to identify the half-cycle and multi-cycle incipient faults of cables. The PSCAD / EMTDC simulation results show that the strategy has a good distinction for constant resistance faults or other overcurrent disturbances. Finally, the on-site monitoring data of live cables have verified the algorithm's fault recognition rate and anti-interference.

Key words: high-voltage cable, fault identification, incipient fault, change point detection, bilateral accumulation