Fault Type Identification Method based on Wavelet Detail Coefficients of Modal Current Components
| Autor: | Shwe Myint, Warit Wichakool |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Discrete wavelet transform
Computer science Hardware_PERFORMANCEANDRELIABILITY Type (model theory) Fault (power engineering) Computer Science::Hardware Architecture Identification (information) Wavelet Modal Distribution (mathematics) Maxima Computer Science::Operating Systems Algorithm Computer Science::Distributed Parallel and Cluster Computing |
| Zdroj: | 2018 IEEE 5th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA). |
| DOI: | 10.1109/icsima.2018.8688796 |
| Popis: | This paper presents the algorithm of fault classification and faulted phase selection based on the absolute maxima values of detail coefficient of current traveling waves. The proposed method identifies the faulted-phase and fault type correctly by comparing these classification parameters to each other instead of using threshold values. Therefore, the proposed method can be used in any types of distribution test system. The proposed approach uses the mathematical tool of discrete wavelet transform to solve the problem. Various fault conditions were simulated by varying fault type, faulted-feeder, fault resistance, fault location and fault inception time, on a loop distribution system. The simulation in MATLAB Simulink results demonstrate the validity of the proposed technique of faulted phase selection. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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