Earth Fault Protection

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Shen Quanrong - One of the best experts on this subject based on the ideXlab platform.

Matti Lehtonen - One of the best experts on this subject based on the ideXlab platform.

  • bayesian selectivity technique for Earth Fault Protection in medium voltage networks
    IEEE Transactions on Power Delivery, 2010
    Co-Authors: Nagy I Elkalashy, Abdelsalam Elhaffar, Tamer A Kawady, Naser Tarhuni, Matti Lehtonen
    Abstract:

    In Nordic countries, distribution networks are unEarthed or compensated. Earth Faults, particularly in compensated networks, provide Fault currents that are low compared to the load currents. Identification of the Faulty feeder is therefore difficult. A preliminary description of discrete wavelet transform (DWT)-Bayesian selectivity technique was introduced in reference 1 to identify the Faulty feeder. It was dependent on a conditional probabilistic method applied to transient features extracted by using the DWT. However, a practical setting for this technique has not yet been presented. Furthermore, its sensitivity is limited to 1.5-k Fault resistances, and is further reduced to 170 when considering current transformer and network noise. In this paper, the ratio between the absolute sums of the DWT detail level from each feeder is used as an input to the conditional probability approach, providing an enhanced selectivity decision. This input contributes to discriminating the Faulty feeder during high resistance Faults. The relay setting is introduced as a function of the number of feeders and their characteristic impedances, as the proposed algorithm is dependent on the discharge's initial transients. The performance is evaluated taking into account current-transformer and network noises. A digital implementation is experimentally verified by using two digital signal processing boards.

  • evaluation of probabilistic based selectivity technique for Earth Fault Protection in mv networks
    IEEE PowerTech Conference, 2009
    Co-Authors: Abdelsalam Elhaffar, Nagy I Elkalashy, Naser Tarhuni, Mohamed F Abdelfattah, Matti Lehtonen
    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.

  • windowed standard deviation based transient feature extraction for Earth Fault Protection in mv networks
    International Universities Power Engineering Conference, 2009
    Co-Authors: Nagy I Elkalashy, Abdelsalam Elhaffar, Matti Lehtonen, Mohamed F Abdelfattah, Naser Tarhuni
    Abstract:

    In this paper, the windowed standard deviation (WSTD) is used to extract the initial transients created in residual current waveforms generated due to Earth Faults in Medium Voltage (MV) compensated networks. The sliding window width used for computing the standard deviation is evaluated from the frequency filter point of view. The Fault cases occurring in a compensated 20 kV network are simulated by ATP/EMTP concerning practical Fault case such as arcing Faults. Results provide evidence that the windowed standard deviation can be used to extract initial transients although they are non-stationary sinusoidal signals.

  • DWT and Bayesian technique for enhancing Earth Fault Protection in MV networks
    2009 IEEE PES Power Systems Conference and Exposition, 2009
    Co-Authors: Nagy I Elkalashy, Matti Lehtonen, Naser Tarhuni
    Abstract:

    In this paper, a Bayesian selectivity technique is introduced to identify the Faulty feeder in compensated medium voltage (MV) networks. The proposed technique is based on a conditional probabilistic method applied on features extracted from the residual currents only using the Discrete Wavelet Transform (DWT). DWT enhances to localize initial transients generated in the network due to the Fault event. The absolute sum of a window of the DWT detail coefficient is used to detect the Fault. The conditional probability provides the selectivity decision. The Fault cases occurring at different locations in a compensated 20 kV network are simulated by ATP/EMTP concerning practical Fault case such as arcing Faults. Test results corroborate the efficacy of proposed technique.

Raul Vargas - One of the best experts on this subject based on the ideXlab platform.

  • analysis of a stator Earth Fault Protection system of a medium voltage converter fed synchronous motor
    IEEE Industry Applications Society Annual Meeting, 2010
    Co-Authors: J Pontt, Raul Vargas
    Abstract:

    For grinding aplications cycloconverter-fed gearless mill drives are being applied with increasing powers and new risks emerge with the systems scaling-up. Traditional parasitic second order effects may be not neglected, like thermal expansions, electromagnetic effects and EMC emissions. In this frame, harmonics and partial discharges of windings in medium voltage converter-fed machines build additional leakage current background that masks eventual phase insulation failures or produce nuissance trips in the protective system. Despite these perturbations, for reliable operation, the electrical Protection system must detect properly a phase-to-ground Fault of the motor in the 100% length of stator winding with the trade-off between sensititvity ad insensitivity. This work presents a study and discussion based on modeling and simulation for assessing the limitations and range of application of a 100% Earth Fault Protection configuration, considering the operation of this Protection acting also as Earth leakage Protection.

  • IAS - Analysis of a Stator Earth Fault Protection System of a Medium Voltage Converter-Fed Synchronous Motor
    2010 IEEE Industry Applications Society Annual Meeting, 2010
    Co-Authors: J Pontt, Raul Vargas
    Abstract:

    For grinding aplications cycloconverter-fed gearless mill drives are being applied with increasing powers and new risks emerge with the systems scaling-up. Traditional parasitic second order effects may be not neglected, like thermal expansions, electromagnetic effects and EMC emissions. In this frame, harmonics and partial discharges of windings in medium voltage converter-fed machines build additional leakage current background that masks eventual phase insulation failures or produce nuissance trips in the protective system. Despite these perturbations, for reliable operation, the electrical Protection system must detect properly a phase-to-ground Fault of the motor in the 100% length of stator winding with the trade-off between sensititvity ad insensitivity. This work presents a study and discussion based on modeling and simulation for assessing the limitations and range of application of a 100% Earth Fault Protection configuration, considering the operation of this Protection acting also as Earth leakage Protection.

Rafiqul Islam - One of the best experts on this subject based on the ideXlab platform.

  • restricted Earth Fault Protection with superconducting Fault current limiter for 100 stator winding
    2013 International Conference on Electrical Information and Communication Technology (EICT), 2014
    Co-Authors: Elias Khan, Apurbo Biswas, Rafiqul Islam
    Abstract:

    Conventional Restricted Earth Fault Protection provides Protection about 80 to 90% of generator stator winding against Earth Fault when neutral of generator is Earthed through a resistance. In this paper, superconducting Fault current limiter an innovative device is used along with restricted Earth Fault Protection to provide 100% stator Earth Fault Protection. A specific generator is considered which is provided with restricted Earth Fault Protection to protect 90% of its winding against Earth Fault. Then a resistive SFCL is applied in the protective scheme replacing the neutral Earthed resistance to a lower value than the previous one. It is found that excellent operational characteristics of SFCL facilitate the restricted Earth Fault relay to operate from very beginning to the end of the generator winding and provide 100% stator Earth Fault Protection.

  • Restricted Earth Fault Protection with superconducting Fault current limiter for 100% stator winding
    2013 International Conference on Electrical Information and Communication Technology (EICT), 2014
    Co-Authors: Elias Khan, Apurbo Biswas, Rafiqul Islam
    Abstract:

    Conventional Restricted Earth Fault Protection provides Protection about 80 to 90% of generator stator winding against Earth Fault when neutral of generator is Earthed through a resistance. In this paper, superconducting Fault current limiter an innovative device is used along with restricted Earth Fault Protection to provide 100% stator Earth Fault Protection. A specific generator is considered which is provided with restricted Earth Fault Protection to protect 90% of its winding against Earth Fault. Then a resistive SFCL is applied in the protective scheme replacing the neutral Earthed resistance to a lower value than the previous one. It is found that excellent operational characteristics of SFCL facilitate the restricted Earth Fault relay to operate from very beginning to the end of the generator winding and provide 100% stator Earth Fault Protection.

Nagy I Elkalashy - One of the best experts on this subject based on the ideXlab platform.

  • bayesian selectivity technique for Earth Fault Protection in medium voltage networks
    IEEE Transactions on Power Delivery, 2010
    Co-Authors: Nagy I Elkalashy, Abdelsalam Elhaffar, Tamer A Kawady, Naser Tarhuni, Matti Lehtonen
    Abstract:

    In Nordic countries, distribution networks are unEarthed or compensated. Earth Faults, particularly in compensated networks, provide Fault currents that are low compared to the load currents. Identification of the Faulty feeder is therefore difficult. A preliminary description of discrete wavelet transform (DWT)-Bayesian selectivity technique was introduced in reference 1 to identify the Faulty feeder. It was dependent on a conditional probabilistic method applied to transient features extracted by using the DWT. However, a practical setting for this technique has not yet been presented. Furthermore, its sensitivity is limited to 1.5-k Fault resistances, and is further reduced to 170 when considering current transformer and network noise. In this paper, the ratio between the absolute sums of the DWT detail level from each feeder is used as an input to the conditional probability approach, providing an enhanced selectivity decision. This input contributes to discriminating the Faulty feeder during high resistance Faults. The relay setting is introduced as a function of the number of feeders and their characteristic impedances, as the proposed algorithm is dependent on the discharge's initial transients. The performance is evaluated taking into account current-transformer and network noises. A digital implementation is experimentally verified by using two digital signal processing boards.

  • evaluation of probabilistic based selectivity technique for Earth Fault Protection in mv networks
    IEEE PowerTech Conference, 2009
    Co-Authors: Abdelsalam Elhaffar, Nagy I Elkalashy, Naser Tarhuni, Mohamed F Abdelfattah, Matti Lehtonen
    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.

  • windowed standard deviation based transient feature extraction for Earth Fault Protection in mv networks
    International Universities Power Engineering Conference, 2009
    Co-Authors: Nagy I Elkalashy, Abdelsalam Elhaffar, Matti Lehtonen, Mohamed F Abdelfattah, Naser Tarhuni
    Abstract:

    In this paper, the windowed standard deviation (WSTD) is used to extract the initial transients created in residual current waveforms generated due to Earth Faults in Medium Voltage (MV) compensated networks. The sliding window width used for computing the standard deviation is evaluated from the frequency filter point of view. The Fault cases occurring in a compensated 20 kV network are simulated by ATP/EMTP concerning practical Fault case such as arcing Faults. Results provide evidence that the windowed standard deviation can be used to extract initial transients although they are non-stationary sinusoidal signals.

  • DWT and Bayesian technique for enhancing Earth Fault Protection in MV networks
    2009 IEEE PES Power Systems Conference and Exposition, 2009
    Co-Authors: Nagy I Elkalashy, Matti Lehtonen, Naser Tarhuni
    Abstract:

    In this paper, a Bayesian selectivity technique is introduced to identify the Faulty feeder in compensated medium voltage (MV) networks. The proposed technique is based on a conditional probabilistic method applied on features extracted from the residual currents only using the Discrete Wavelet Transform (DWT). DWT enhances to localize initial transients generated in the network due to the Fault event. The absolute sum of a window of the DWT detail coefficient is used to detect the Fault. The conditional probability provides the selectivity decision. The Fault cases occurring at different locations in a compensated 20 kV network are simulated by ATP/EMTP concerning practical Fault case such as arcing Faults. Test results corroborate the efficacy of proposed technique.