Sensitivity Analysis of Water Tree and Input Pulse Parameters for Time-Domain Reflectometry of Power Cables Using Taguch
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ORIGINAL ARTICLE
Sensitivity Analysis of Water Tree and Input Pulse Parameters for Time‑Domain Reflectometry of Power Cables Using Taguchi Method Han‑Ju Kim1 · Ji‑san Park1 · Jaegyeong Mun2 · Dong‑Hun Kim2 · Seung Hwangbo3 · Dong‑Young Yi4 · Jin‑Kyu Byun1 Received: 1 May 2020 / Revised: 18 September 2020 / Accepted: 17 October 2020 © The Korean Institute of Electrical Engineers 2020
Abstract In this paper, quantitative sensitivity analyses of various parameters of water tree and input pulse are performed using Taguchi-based design of experiment method in order to verify the feasibility of time-domain reflectometry (TDR) method for the water tree detection in the power cable. Signal to noise ratio (SNR) and percent contribution (PC) of water tree and diagnostic pulse parameters are calculated, and the parameters are identified that have high influence on the reflected pulse. The simulation software (COMSOL Multiphysics) used for the analysis is verified by comparison with the experimental results of the cable with an artificial defect. Based on the sensitivity analysis, optimal diagnostic pulse parameters are proposed for the efficient detection of the water trees. Keywords Sensitivity analysis · Signal to noise ratio (SNR) · Taguchi method · Time-domain reflectometry (TDR) · Water tree
1 Introduction * Jin‑Kyu Byun [email protected] Han‑Ju Kim [email protected] Ji‑san Park [email protected] Jaegyeong Mun [email protected] Dong‑Hun Kim [email protected] Seung Hwangbo [email protected] Dong‑Young Yi [email protected] 1
Department of Electrical Engineering, Soongsil University, Seoul, Korea
2
Department of Electrical Engineering, Kyungpook National University, Daegu, Korea
3
Department of Automotive Engineering, Honam University, Gwangju, Korea
4
Division of Energy and Electrical Engineering, Uiduk University, Kyungju, Korea
Early detection of the power cable degradation such as water tree is essential for the stable operation of the power grids. Most of the cable degradation occur due to the electrical, mechanical, thermal and chemical stress. In particular, the water tree is the slowly growing degradation that occurs from the impurities in the insulation that contain moisture. The power cable fault caused by a fully-grown water tree can have significant social and economic impacts. Thus, it is important to develop a diagnosis method of power cable that can detect degradation such as water tree before it fully grows and causes electrical fault. Currently, most of the cable diagnosis methods are based on the partial discharge (PD) measurement [1–3]. However, PD measurement methods have shown low reliability issues for the main insulation layer of the cable [4]. The time-domain reflectometry (TDR) method applies diagnostic pulse to the cable and analyzes the reflected wave generated by the impedance discontinuity such as water tree. There have been some studies to apply the TDR method for the detection of the water tree in the main insulation layer of the power cable [5–8]. In the previous study by
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