
Detection of power swing and prevention of mal‐operation of distance relay using compressed sensing theory
Author(s) -
Taheri Behrooz,
Sedighizadeh Mostafa
Publication year - 2020
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2020.0540
Subject(s) - swing , matlab , fault (geology) , relay , power (physics) , computer science , compressed sensing , electric power system , signal (programming language) , noise (video) , electronic engineering , engineering , artificial intelligence , physics , quantum mechanics , mechanical engineering , seismology , image (mathematics) , programming language , geology , operating system
Power system protection has become an essential challenge with the development of the power system. This study presents a new method in detecting a power swing based on compressed sensing. The proposed method is tested on the IEEE 39‐bus network using MATLAB and DIgSILENT software. The simulation results show that the presented method is able to detect and differentiate between different types of power system conditions: stable, unstable, and multi‐mode power swings. In addition, this method has a high speed in detecting the simultaneous fault with the power swing phenomenon. Moreover, the proposed method is capable of operating correctly despite noise signal in the system. This study has proven that the suggested method outperforms most of the existing methods as shown in the comparison section.