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Protective Relaying Algorithm for Transformer Using Neuro-Fuzzy based on Wavelet Transform  

Lee Jong-Beom (원광대 전지전자 및 전기공학부)
Lee Myoung-Rhun (원광대 전기공학과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers A / v.54, no.5, 2005 , pp. 242-250 More about this Journal
Abstract
This paper proposes a new protective relaying algorithm using Neuro-Fuzzy and wavelet transform. To organize advanced nuero-fuzzy algorithm, it is important to select target data reflecting various transformer transient states. These data are made of changing-rates of Dl coefficient and RSM value within half cycle after fault occurrence. Subsequently, advanced neuro-fuzzy algorithm is obtained by converging the target data. As a result of applying the advanced neuro-fuzzy algorithm, discrimination between internal fault and inrush is correctly distinguished within 1/2 after fault occurrence. Accordingly, it is evaluated that the proposed algorithm can effectively protect a transformer by correcting discrimination between winding fault and inrushing state.
Keywords
Current differential Relay; Internal fault Inrush; Overexcitation; Wavelet Transform; Neuro-fuzzy algorithm;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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