Implementation of Voltage Sag Relative Location and Fault Type Identification Algorithm Using Real-Time Distribution System Data

Yunus Yalman, Tayfun Uyanık, Adnan Tan, Kamil Çağatay Bayındır, Yacine Terriche, Chun-Lien Su () and Josep M. Guerrero
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Yunus Yalman: Department of Electrical and Electronic Engineering, Ankara Yıldırım Beyazıt University, Ankara 06010, Turkey
Tayfun Uyanık: Maritime Faculty, Istanbul Technical University, Istanbul 34940, Turkey
Adnan Tan: Department of Electrical and Electronics Engineering, Çukurova University, Adana 01250, Turkey
Kamil Çağatay Bayındır: Department of Electrical and Electronic Engineering, Ankara Yıldırım Beyazıt University, Ankara 06010, Turkey
Yacine Terriche: Center for Research on Microgrids, AAU Energy, 9220 Aalborg, Denmark
Chun-Lien Su: Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City 807618, Taiwan
Josep M. Guerrero: Center for Research on Microgrids, AAU Energy, 9220 Aalborg, Denmark

Mathematics, 2022, vol. 10, issue 19, 1-13

Abstract: One of the common power quality (PQ) problems in transmission and distribution systems is the voltage sag that affects the sensitive loads. Losses and problems caused by the voltage sag in the power system can be reduced by correctly determining the relative location of the voltage sag. This paper proposes a novel algorithm to classify voltage sag relative location and fault type, which is the main root cause of voltage sag, based on the actual voltage and current data before and during the voltage sag. The performance of the algorithm is investigated by performing a numerical simulation utilizing MATLAB/Simulink. Moreover, the proposed algorithm is integrated into the power quality monitoring system (PQMS) of the real distribution system and tested. The results show that the performance of the proposed method is satisfactory.

Keywords: distribution system; fault type; power quality; voltage sag (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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