TY - JOUR
T1 - EVALUATION OVER CURRENT PROTECTION UNDER PARALLEL ARCING SHORT CIRCUIT IN LOW VOLTAGE DISTRIBUTION NETWORK
AU - Ksatria, Arief Budi
AU - Asfani, Dimas Anton
AU - Negara, I. Made Yulistya
AU - Hernanda, I. Gusti N.S.
AU - Fahmi, Daniar
AU - Levana, Zahrani
N1 - Publisher Copyright:
© The Institution of Engineering & Technology 2023.
PY - 2023
Y1 - 2023
N2 - Single line short circuit to ground for low voltage network is produce high current with electric arc. Generally, in house or public facility installation, this fault is protected by fuse or miniature circuit breaker (MCB). However, some fault case is not detected by protection device due to very short duration, even though arcing still generated. This case is one of the common root cause fire disasters and defined as Parallel Arc Fault (PAF). PAF is simulated in laboratory by short circuit between stranded cable filaments. The number of filaments that short-circuited varied. During experiments, parameters observed were peak current value, spike duration, and circuit breaker response. Statistical analysis and artificial neural networks (ANN) are used for analysis and evaluate the behaviour of low voltage PAF. The analysis shows that ANN-based detection system is successfully classified into case that protection system fails to work and able to work.
AB - Single line short circuit to ground for low voltage network is produce high current with electric arc. Generally, in house or public facility installation, this fault is protected by fuse or miniature circuit breaker (MCB). However, some fault case is not detected by protection device due to very short duration, even though arcing still generated. This case is one of the common root cause fire disasters and defined as Parallel Arc Fault (PAF). PAF is simulated in laboratory by short circuit between stranded cable filaments. The number of filaments that short-circuited varied. During experiments, parameters observed were peak current value, spike duration, and circuit breaker response. Statistical analysis and artificial neural networks (ANN) are used for analysis and evaluate the behaviour of low voltage PAF. The analysis shows that ANN-based detection system is successfully classified into case that protection system fails to work and able to work.
KW - ARTIFICIAL NEURAL NETWORKS (ANN)
KW - FILAMENT
KW - LOW VOLTAGE SYSTEM
KW - MULTI-CORE CABLE
KW - PARALLEL ARC FAULT (PAF)
UR - http://www.scopus.com/inward/record.url?scp=85203363369&partnerID=8YFLogxK
U2 - 10.1049/icp.2024.0561
DO - 10.1049/icp.2024.0561
M3 - Conference article
AN - SCOPUS:85203363369
SN - 2732-4494
VL - 2023
SP - 464
EP - 468
JO - IET Conference Proceedings
JF - IET Conference Proceedings
IS - 46
T2 - 23rd International Symposium on High Voltage Engineering, ISH 2023
Y2 - 28 August 2023 through 1 September 2023
ER -