TY - JOUR
T1 - A modified charge similarity approach for detecting high impedance earth faults in resonant grounded power distribution networks
AU - Pirmani, Susheel Kumar
AU - Mahmud, Md Apel
AU - Islam, Shama Naz
AU - Arif, Mohammad Taufiqul
PY - 2023/7/1
Y1 - 2023/7/1
N2 - This paper presents a new charge similarity approach to accurately detect faulty feeders, phases and sections in resonant grounded power distribution networks during high impedance faults. The proposed fault detection scheme is developed using a charge similarity-based approach where the similarity factor (which is actually a charge integral) is determined by performing the double integral action on the inner product of the zero-sequence and phase currents of the respective feeder. The variation in the similarity factor provides an indication of healthy or faulty feeders. The similarity factor for a feeder having the highest variation identifies it as a faulty feeder and vice-versa. Another important feature of the proposed fault detection scheme is its ability to work with the low sampling frequency (i.e., 2 kHz) by utilizing the existing measurement devices. A distribution network having three feeders with a resonant grounded substation is used to validate the proposed scheme where all analyses are carried out in MATLAB/Simulink. Simulation results show that the proposed scheme is capable of recognizing faulty feeders, phases and sections for fault impedances from 0.1 Ω to 1 MΩ under different fault inception angles (FIAs) scenarios.
AB - This paper presents a new charge similarity approach to accurately detect faulty feeders, phases and sections in resonant grounded power distribution networks during high impedance faults. The proposed fault detection scheme is developed using a charge similarity-based approach where the similarity factor (which is actually a charge integral) is determined by performing the double integral action on the inner product of the zero-sequence and phase currents of the respective feeder. The variation in the similarity factor provides an indication of healthy or faulty feeders. The similarity factor for a feeder having the highest variation identifies it as a faulty feeder and vice-versa. Another important feature of the proposed fault detection scheme is its ability to work with the low sampling frequency (i.e., 2 kHz) by utilizing the existing measurement devices. A distribution network having three feeders with a resonant grounded substation is used to validate the proposed scheme where all analyses are carried out in MATLAB/Simulink. Simulation results show that the proposed scheme is capable of recognizing faulty feeders, phases and sections for fault impedances from 0.1 Ω to 1 MΩ under different fault inception angles (FIAs) scenarios.
KW - Charge similarity
KW - Fault detection
KW - High impedance earth fault
KW - Low sampling frequency
KW - Similarity factor
KW - Zero-sequence current
UR - http://www.scopus.com/inward/record.url?scp=85149759522&partnerID=8YFLogxK
U2 - 10.1016/j.epsr.2023.109264
DO - 10.1016/j.epsr.2023.109264
M3 - Article
AN - SCOPUS:85149759522
SN - 0378-7796
VL - 220
JO - Electric Power Systems Research
JF - Electric Power Systems Research
M1 - 109264
ER -