Evaluation of probabilistic-based selectivity technique for earth fault protection in MV networks

Abdelsalam M. Elhaffar; Nagy I. Elkalashy; Naser G. Tarhuni; Mohamed F. Abdel-Fattah; Matti Lehtonen

doi:10.1109/PTC.2009.5282189

Evaluation of probabilistic-based selectivity technique for earth fault protection in MV networks

Abdelsalam M. Elhaffar, Nagy I. Elkalashy, Naser G. Tarhuni, Mohamed F. Abdel-Fattah, Matti Lehtonen

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2009 IEEE Bucharest PowerTech
Subtitle of host publication	Innovative Ideas Toward the Electrical Grid of the Future
DOIs	https://doi.org/10.1109/PTC.2009.5282189
Publication status	Published - 2009
Event	2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future - Bucharest, Romania Duration: Jun 28 2009 → Jul 2 2009

Publication series

Name	2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future

Conference

Conference	2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future
Country/Territory	Romania
City	Bucharest
Period	6/28/09 → 7/2/09

Keywords

CT characteristics
DWT
Earth fault detection
Initial transients
Network noise
Probability
Residual current

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

Access to Document

10.1109/PTC.2009.5282189

Cite this

Elhaffar, A. M., Elkalashy, N. I., Tarhuni, N. G., Abdel-Fattah, M. F., & Lehtonen, M. (2009). Evaluation of probabilistic-based selectivity technique for earth fault protection in MV networks. In 2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future Article 5282189 (2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future). https://doi.org/10.1109/PTC.2009.5282189

Evaluation of probabilistic-based selectivity technique for earth fault protection in MV networks. / Elhaffar, Abdelsalam M.; Elkalashy, Nagy I.; Tarhuni, Naser G. et al.
2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future. 2009. 5282189 (2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Elhaffar, AM, Elkalashy, NI, Tarhuni, NG, Abdel-Fattah, MF & Lehtonen, M 2009, Evaluation of probabilistic-based selectivity technique for earth fault protection in MV networks. in 2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future., 5282189, 2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future, 2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future, Bucharest, Romania, 6/28/09. https://doi.org/10.1109/PTC.2009.5282189

Elhaffar AM, Elkalashy NI, Tarhuni NG, Abdel-Fattah MF, Lehtonen M. Evaluation of probabilistic-based selectivity technique for earth fault protection in MV networks. In 2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future. 2009. 5282189. (2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future). doi: 10.1109/PTC.2009.5282189

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title = "Evaluation of probabilistic-based selectivity technique for earth fault protection in MV networks",

abstract = "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.",

keywords = "CT characteristics, DWT, Earth fault detection, Initial transients, Network noise, Probability, Residual current",

author = "Elhaffar, {Abdelsalam M.} and Elkalashy, {Nagy I.} and Tarhuni, {Naser G.} and Abdel-Fattah, {Mohamed F.} and Matti Lehtonen",

year = "2009",

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AU - Elhaffar, Abdelsalam M.

AU - Elkalashy, Nagy I.

AU - Tarhuni, Naser G.

AU - Abdel-Fattah, Mohamed F.

AU - Lehtonen, Matti

PY - 2009

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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.

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KW - Earth fault detection

KW - Initial transients

KW - Network noise

KW - Probability

KW - Residual current

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Evaluation of probabilistic-based selectivity technique for earth fault protection in MV networks

Abstract

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Keywords

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