[논문]Algorithm for Fault Detection and Classification Using Wavelet Singular Value Decomposition for Wide-Area Protection

Lee, Jae-Won; Kim, Won-Ki; Oh, Yun-Sik; Seo, Hun-Chul; Jang, Won-Hyeok; Kim, Yoon Sang; Park, Chul-Won; Kim, Chul-Hwan

doi:10.5370/jeet.2015.10.3.729

Algorithm for Fault Detection and Classification Using Wavelet Singular Value Decomposition for Wide-Area Protection 원문보기

Journal of electrical engineering & technology, v.10 no.3, 2015년, pp.729 - 739

Lee, Jae-Won (College of Information and Communication Engineering, Sungkyunkwan University) , Kim, Won-Ki (College of Information and Communication Engineering, Sungkyunkwan University) , Oh, Yun-Sik (College of Information and Communication Engineering, Sungkyunkwan University) , Seo, Hun-Chul (School of IT Engineering, Yonam Institue of Digital Technolgy) , Jang, Won-Hyeok (Dept. of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign) , Kim, Yoon Sang (School of Computer and Science Engineering, Korea University of Technology and Education) , Park, Chul-Won (Dept. of Electrical Engineering, Gangneung-Wonju National University) , Kim, Chul-Hwan (College of Information and Communication Engineering, Sungkyunkwan University)

Abstract ▼ AI-Helper

An algorithm for fault detection and classification method for wide-area protection in Korean transmission systems is proposed. The modeling of 345-kV and 765-kV Korean power system transmission networks using the Electro Magnetic Transient Program - Restructured Version (EMTP-RV) is presented and the algorithm for fault detection and classification in transmission lines is developed. The proposed algorithm uses the Wavelet Transform (WT) and Singular Value Decomposition (SVD). The Singular value of Approximation coefficient (SA) and part Sum of Detail coefficient (SD) are introduced. The characteristics of the SA and SD at the fault conditions are analyzed and used in the algorithm for fault detection and classification. The validation of the proposed algorithm is verified by various simulation results.

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가설 설정

As shown in Fig. 4(c), the result of DLG is very similar to that of DLL, but the magnitude of the healthy phase in case of DLG experiences small variance caused by the faulty phase. In the case of a 3Φ fault, the original voltage magnitude of the faulty phases is decreased rapidly, but the results are relatively low.

제안 방법

Several indices are defined to classify fault types based on the aforementioned characteristics of SA and SD: NSA (Normalized maximum SA; ΔSA), AR (Ranked SA), NSD (Normalized maximum SD; ΔSD), and NSS (Normalized Settled SD; ΔSD). The zero sequence voltage V₀ is introduced to determine whether the fault is symmetric or asymmetric.
Based on the modelled system, an algorithm for wide-area protection in the Korean transmission system has been proposed. The proposed algorithm consists of fault detection and classification. The method for fault detection and classification using WSVD was also discussed.

대상 데이터

The simulation conditions include the tripping generator group, with a maximum voltage of phase and a minimum voltage of phase a, and a total of 42 simulations are conducted. Each group of selected generators is connected to the bus of each generator group, which include 8 units of Busan C/C, 6 units of Ulsan C/C, 3 units of Ulsan T/P, and 4 units of Kori N/P.

성능/효과

By using the proposed algorithm, national wide monitoring and supervising system can be monitoring and classifying of the faults in national wide-area transmission network as a new way redundantly with the SCADA (Supervisory Control and Data Acquisition) and EMS (Energy Management System) in order to be more reliable operation when the signal can be acquired by PMU on national wide.
The characteristics in various fault conditions using WSVD were analysed. With the analysis results, NSA, AR, NSD, and NSS were designated with proper values for fault detection and classification. All algorithms for wide area protection, including fault detection and fault type classification are validated through various simulation conditions.

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