牛静,顾亦超,白加林,王建,熊学海
NIU Jin,GU Yichao,BAI Jialin,WANG Jian,XIONG Xuehai

• 1:中国南方电网贵州电网有限责任公司电力调度控制中心
• 2:输变电装备技术全国重点实验室(重庆大学)

摘要(Abstract)：

针对输电线路发展性故障辨识问题，提出一种基于MODWT（最大重叠离散小波变换）的输电线路发展性故障辨识方法。首先，分析发展性故障的特点和分类，并通过MODWT算法对三相电流与零序电流信号进行特征提取，进而将这些特征转化为能量算子。其次，对三相电流与零序电流的能量算子进行归一化处理，构建故障坐标并引入三维故障平面概念，用于可视化展示发展性故障。然后，设立发展性故障判据，结合故障轨迹点进一步识别故障类型。最后，仿真和实际故障的算例结果表明，该算法可有效区分输电线路是否发生发展性故障，准确判别发展性故障类型。
To identify evolving faults in transmission lines, a novel identification method based on the maximal overlap discrete wavelet transform(MODWT) is proposed. First, the characteristics and classifications of evolving faults are analyzed. The MODWT algorithm is then applied to extract features from the three-phase currents and the zerosequence current, which are subsequently converted into energy operators. Next, these energy operators are normalized to construct a fault coordinate system. The two-dimensional fault plane within a three-dimensional feature space is introduced to visualize the evolving faults. Subsequently, criteria for identifying evolving faults are established, and the fault type is further discerned by analyzing the trajectory of fault points on this plane. Finally, results from both simulation studies and actual fault cases demonstrate that the proposed method can effectively determine whether an evolving fault has occurred on a transmission line and accurately identify the specific type of evolving fault.

关键词(KeyWords)： 输电线路;发展性故障;故障辨识;最大重叠离散小波变换;能量算子
transmission line;evolving faults;fault identification;MODWT;energy operator

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金（52277079）;; 贵州电网公司科技项目（CG0600022001757666）

作者(Author): 牛静,顾亦超,白加林,王建,熊学海
NIU Jin,GU Yichao,BAI Jialin,WANG Jian,XIONG Xuehai

DOI: 10.19585/j.zjdl.202605002

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