期刊论文

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

中文

中国电力

1004-9649

2020

53

12

167-176

10.11930/j.issn.1004-9649.202004153

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)。

本校为第一机构

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...

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 determi...