Research on Wavelet Transformation for Fault Line Selection of Distribution Network
| Autor: | Yang Wang, Mingjie Zeng, Wenbing Xi, Shiwei Yang, Shi Xuchu |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
Hardware_PERFORMANCEANDRELIABILITY Fault (power engineering) Symmetrical components Computer Science::Hardware Architecture Wavelet Transformation (function) Component (UML) Line (geometry) MATLAB Computer Science::Operating Systems Algorithm computer Computer Science::Distributed Parallel and Cluster Computing Voltage computer.programming_language |
| Zdroj: | 2020 5th International Conference on Power and Renewable Energy (ICPRE). |
| DOI: | 10.1109/icpre51194.2020.9233045 |
| Popis: | Single-phase ground fault is one of the main reasons in distribution network fault. The fault line selection is the key step of fault location. In this paper, Db4 transform is used to decompose and reconstruct the fault bus zero-sequence voltage and the zero-sequence current of each feeder in five layers, which respectively extracts the high-frequency component wavelet coefficients and low-frequency component wavelet coefficients to determine the fault occurrence time and fault occurrence line. In order to verify the effectiveness of the method, a distribution network simulation model was built in Matlab/Simulink, and the results verified the practicability of the method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|