Abstract
Partial discharge (PD) localization in substations based on the ultra-high frequency (UHF) method can be used to efficiently assess insulation conditions. Localization accuracy is affected by the accuracy of the time delay (TD) estimation, which is critical for PD localization in substations. A review of existing TD estimation methods indicates that there is a need to develop methods that are both accurate and computationally efficient. In this paper, a novel TD estimation method is proposed to improve both accuracy and efficiency. The TD is calculated using an improved cross-correlation algorithm based on full-wavefronts of array UHF signals, which are extracted using the minimum cumulative energy method and zero-crossing points searching methods. The cross-correlation algorithm effectively suppresses the TD error caused by differences between full-wavefronts. To verify the method, a simulated PD source test in a laboratory and a field test in a 220 kV substation were carried out. The results show that the proposed method is accurate even in case of low signal-to-noise ratio, but with greatly improved computational efficiency.
Document Type
Article
Publication Date
10-13-2018
Digital Object Identifier (DOI)
https://doi.org/10.3390/s18103439
Funding Information
This research was funded by PhD research startup foundation of Pingdingshan University (grant number:182102210470) and key R&D and promotion projects of Henan Province (grant number: 182102210470).
Repository Citation
Li, Pengfei; Dai, Kejie; Zhang, Tong; Jin, Yantao; Liu, Yushun; and Liao, Yuan, "An Accurate and Efficient Time Delay Estimation Method of Ultra-High Frequency Signals for Partial Discharge Localization in Substations" (2018). Electrical and Computer Engineering Faculty Publications. 29.
https://uknowledge.uky.edu/ece_facpub/29
Notes/Citation Information
Published in Sensors, v. 18, issue 10, 3439, p. 1-15.
© 2018 by the authors. Licensee MDPI, Basel, Switzerland.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).