A precise detection method of traveling wave based on S‑transform and PSO‑GRNN

Authors

Shuai WANG, Ministry of Engineering Center for Power System Security and Supervisory Control Technology, Changsha University of Science & Technology, Changsha 410114, China
Zewen LI, Ministry of Engineering Center for Power System Security and Supervisory Control Technology, Changsha University of Science & Technology, Changsha 410114, ChinaFollow
Congyu WU, Ministry of Engineering Center for Power System Security and Supervisory Control Technology, Changsha University of Science & Technology, Changsha 410114, China
Ruiqi ZOU, Ministry of Engineering Center for Power System Security and Supervisory Control Technology, Changsha University of Science & Technology, Changsha 410114, China
Yuyan XIAO, Ministry of Engineering Center for Power System Security and Supervisory Control Technology, Changsha University of Science & Technology, Changsha 410114, China

Keywords

substation; traveling wave detection; S-transform; generalized regression neural network; S-matrix

Abstract

Reflected traveling waves are generated by substation equipment, and the incident waves and reflected waves are overlapped during traveling wave signal measurement. To address these issues, a precise detection method of traveling waves based on S-transform and particle swarm optimization and generated regression neural network algorithm (PSO-GRNN) is proposed. Firstly, the S matrixes of the overlapped traveling wave signal and the real incident traveling wave signal are obtained by the S transform, respectively. Secondly, the S matrixes of the overlapped traveling wave signal and the real incident traveling wave signal are reconstructed in terms of dimensionality into a vector, which is used as the input and output of PSO-GRNN for training and learning, and the network model for separating the overlapped traveling wave signal is established. Finally, according to this model, the S matrix of the incident traveling wave signal is separated from the overlapped traveling wave signal, and the S-inverse transform is performed to obtain the pure incident traveling wave. The simulation results show that the separated incident traveling wave has higher steepness and more prominent time-frequency characteristics, which provides a new idea to improve the reliability of existing traveling wave protection and the accuracy of traveling wave positioning.

DOI

10.19781/j.issn.1673-9140.2024.06.002

First Page

11

Last Page

21

Recommended Citation

WANG, Shuai; LI, Zewen; WU, Congyu; ZOU, Ruiqi; and XIAO, Yuyan (2025) "A precise detection method of traveling wave based on S‑transform and PSO‑GRNN," Journal of Electric Power Science and Technology: Vol. 39: Iss. 6, Article 2.
DOI: 10.19781/j.issn.1673-9140.2024.06.002
Available at: https://jepst.researchcommons.org/journal/vol39/iss6/2