Fault Detection for Multi-terminal Transmission Line with Nuclear Power Plant Based on Wavelet Transform Ahmed R. Adly(1),*, Alaa M. Abdel-hamed (2), Said A. Kotb (1), Magdy M. Zak (1) 1) ETRR-2, Nuclear Research Center, Atomic Energy Authority, Egypt 2) High Institute of Engineering, EL Shorouk Academy, Egypt

Autor:	Magdy M. Zaky, Said A. Kotb, Ahmed R. Adly
Rok vydání:	2019
Předmět:	Discrete wavelet transform Electric power transmission Emtp law Computer science Electrical network Nuclear power plant ETRR-2 Wavelet transform General Medicine Algorithm Fault detection and isolation law.invention
Zdroj:	Arab Journal of Nuclear Sciences and Applications. 52:144-152
ISSN:	2090-4258
DOI:	10.21608/ajnsa.2019.6832.1162
Popis:	This paper proposes an improved scheme of fault detection and classification for multi-terminal transmission lines using discrete wavelet transform (DWT). The proposed scheme can correctly used to detect and classify the faults. The proposed scheme is dependent on line current data only. The proposed scheme is derived in the spectral domain and is based on the application of the DWT. The proposed scheme uses an adaptive threshold level for detect and classify the faults. The ATP/EMTP program is used to evaluate the presented approach. In addition, the nuclear power plants planned to be integrated with the Egypt electric network in 2026, so the presented approach is considered the installation of El Dabaa nuclear power plant. The presented approach achieves accurate results under numerous and enhanced fault detection and classification methodologies. The proposed methodologies have been applied correctly and verified a good contribution in detection and classification of electrical network faults.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::620045b718114816198ff1d7a3446559 https://doi.org/10.21608/ajnsa.2019.6832.1162 Zobrazit plný text záznamu