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Distance Relaying Algorithm Based on An Adaptive Data Window Using Least Square Error Method  

Jeong, Ho-Seong (Korea Railroad Research Institute)
Choe, Sang-Yeol (Dept.of Digital Media, Anyang University)
Sin, Myeong-Cheol (Dept.of Information communication Engineering, Sungkyunkwan University)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers A / v.51, no.8, 2002 , pp. 371-378 More about this Journal
Abstract
This paper presents the rapid and accurate algorithm for fault detection and location estimation in the transmission line. This algorithm uses wavelet transform for fault detection and harmonics elimination and utilizes least square error method for fault impedance estimation. Wavelet transform decomposes fault signals into high frequence component Dl and low frequence component A3. The former is used for fault phase detection and fault types classification and the latter is used for harmonics elimination. After fault detection, an adaptive data window technique using LSE estimates fault impedance. It can find a optimal data window length and estimate fault impedance rapidly, because it changes the length according to the fault disturbance. To prove the performance of the algorithm, the authors test relaying signals obtained from EMTP simulation. Test results show that the proposed algorithm estimates fault location within a half cycle after fault irrelevant to fault types and various fault conditions.
Keywords
Fault Location Estimation; Wavelet Transform; Least Square Error Method; Adaptive Data Window Length; EMTP;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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