A fault time detection method for distribution network based on multi-order wavelet function transform

Zhi Li, Kai Wang, Yong Li, Shibiao Tang, Shaofeng Yu
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引用次数: 0

Abstract

distribution network fault time is the key to realize fault data synchronization and fault location, and it is also the core of advanced application of fault location algorithm in distribution automation master station. Therefore, on the basis of summarizing the applicability of fault location methods, this paper proposes a distribution network fault time detection method based on multi-order wavelet transform for engineering applications. Firstly, the fault occurrence interval is located by sliding window FFT, the characteristic signal to be decomposed is extracted, and the characteristic signal is decomposed by multi-order wavelet transform. The modulus maxima is used to solve the time of fault occurrence. Finally, through the simulation of single-phase grounding fault in multi scenario distribution network, the simulation results show that this method can accurately calculate the time of fault, and has good robustness and high reliability.
基于多阶小波函数变换的配电网故障时间检测方法
配电网故障时间是实现故障数据同步和故障定位的关键,也是故障定位算法在配电网自动化主站先进应用的核心。因此,在总结故障定位方法适用性的基础上,本文提出了一种基于多阶小波变换的配电网故障时间检测方法,用于工程应用。首先,利用滑动窗口FFT对故障发生区间进行定位,提取待分解的特征信号,并用多阶小波变换对特征信号进行分解;采用模极大值法求解故障发生时间。最后,通过对多场景配电网单相接地故障的仿真,仿真结果表明,该方法能够准确地计算出故障时间,具有较好的鲁棒性和较高的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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