TY - GEN
T1 - Evaluation of probabilistic-based selectivity technique for earth fault protection in MV networks
AU - Elhaffar, Abdelsalam M.
AU - Elkalashy, Nagy I.
AU - Tarhuni, Naser G.
AU - Abdel-Fattah, Mohamed F.
AU - Lehtonen, Matti
PY - 2009
Y1 - 2009
N2 - In [1], a Bayesian selectivity technique has been introduced to identify the faulty feeder in compensated medium voltage (MV) networks. The proposed technique has been based on a conditional probabilistic method applied on transient features extracted from the residual currents only using the Discrete Wavelet Transform (DWT). In this paper, the performance of this selectivity technique is evaluated when the current transformers (CTs) impacts are considered. The CTs are modeled considering their frequency characteristics. Furthermore, network noises are added to the simulated signals. Therefore, the algorithm can be tested at different practical conditions, such as nonlinear characteristics of the measuring devices and the impact of noise as well. The fault cases occurring at different locations in a compensated 20 kV network are simulated by ATP/EMTP. Results show a reduction in the algorithm sensitivity with considering CT and noise effectiveness.
AB - In [1], a Bayesian selectivity technique has been introduced to identify the faulty feeder in compensated medium voltage (MV) networks. The proposed technique has been based on a conditional probabilistic method applied on transient features extracted from the residual currents only using the Discrete Wavelet Transform (DWT). In this paper, the performance of this selectivity technique is evaluated when the current transformers (CTs) impacts are considered. The CTs are modeled considering their frequency characteristics. Furthermore, network noises are added to the simulated signals. Therefore, the algorithm can be tested at different practical conditions, such as nonlinear characteristics of the measuring devices and the impact of noise as well. The fault cases occurring at different locations in a compensated 20 kV network are simulated by ATP/EMTP. Results show a reduction in the algorithm sensitivity with considering CT and noise effectiveness.
KW - CT characteristics
KW - DWT
KW - Earth fault detection
KW - Initial transients
KW - Network noise
KW - Probability
KW - Residual current
UR - http://www.scopus.com/inward/record.url?scp=74949100100&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=74949100100&partnerID=8YFLogxK
U2 - 10.1109/PTC.2009.5282189
DO - 10.1109/PTC.2009.5282189
M3 - Conference contribution
AN - SCOPUS:74949100100
SN - 9781424422357
T3 - 2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future
BT - 2009 IEEE Bucharest PowerTech
T2 - 2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future
Y2 - 28 June 2009 through 2 July 2009
ER -