Fault Spatial-temporal Detecting and Diagnosis for Power Grid Based on Wavelet Analysis

Authors

Li Gang, 1. School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, China; ;
Pengcheng Xu, 2. School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China;
Longmei Han, 1. School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, China; ;

Abstract

Abstract: The monitoring data of modern power system have strong intrinsic relationship and its abnormal and fault signal is often hidden in big data sets, so the traditional Fourier transform analysis methods don't have the ability of time domain localization analysis. A new method based on time-frequency characteristics of wavelet analysis was proposed for singularity detection of transient signals in power system, which through decomposing the multi-scale one-dimensional transient signal wavelet, extracted high frequency and low frequency coefficient, and got fault time information while the signal de-noising; then based on the singularity detection of modulus maxima, the fault location information was obtained, so as to realize the temporal-spatial detection and diagnosis of abnormal signal of power system. By means of the simulation analysis in IEEE 39 bus system, the results show that the proposed method realizes the singular signal time-frequency characteristics of sorting, and initially satisfies the requirement of fault spatial-temporal positioning.

Recommended Citation

Gang, Li; Xu, Pengcheng; and Han, Longmei (2020) "Fault Spatial-temporal Detecting and Diagnosis for Power Grid Based on Wavelet Analysis," Journal of System Simulation: Vol. 27: Iss. 12, Article 20.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss12/20

First Page

3018

Revised Date

2015-08-12

DOI Link

https://doi.org/

Last Page

3024

CLC

TP391.9

Recommended Citation

Li Gang, Xu Pengcheng, Han Longmei. Fault Spatial-temporal Detecting and Diagnosis for Power Grid Based on Wavelet Analysis[J]. Journal of System Simulation, 2015, 27(12): 3018-3024.