Open AccessPower swing detection and blocking of the third zone of distance relays by the combined use of empirical‐mode decomposition and Hilbert transform
Author(s) -
Taheri Behrooz,
Hosseini Seyed Amir,
AskarianAbyaneh Hossein,
Razavi Farzad
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.2019.1167
Subject(s) - hilbert–huang transform , swing , relay , fault (geology) , power (physics) , hilbert transform , blocking (statistics) , electric power system , computer science , control theory (sociology) , line (geometry) , electronic engineering , engineering , mathematics , telecommunications , spectral density , artificial intelligence , white noise , mechanical engineering , computer network , physics , control (management) , geometry , quantum mechanics , seismology , geology
This study aimed to develop a new method for detecting power swings and faults that may occur during these swings based on the combined use of empirical‐mode decomposition and Hilbert transform. Power swings including line disconnection, fault occurrence, large sudden changes in the demand load, and reclosing, can cause a distance relay to malfunction and sever healthy lines from the network. Therefore, power swings and their simultaneous faults can pose a major challenge to protect the power systems. The proposed method in this study was tested on the standard IEEE 39‐bus network for different power swing and fault states. It was also implemented on a distance relay manufactured by Vebko‐Amirkabir Co. The evaluations show that the proposed method completely outperforms the conventional industrial method and other available methods in the literature. Since the proper functioning of this method depends on the choice of a threshold value, the current study also provides a simple and practical way to determine this threshold.