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Uncertainty of fault location prediction due to behavior of simultaneous fault in electrical power system using travelling wave theory
(2011-04-01)
Ngaopitakkul, A.
;
Apisit, C.
This paper presents uncertainty of fault location due to behavior of simultaneous fault in an electrical power transmission system. The fault signal is simulated using PSCAD/EMTDC. The Discrete Wavelet Transform (DWT) is used to detect the high frequency components. The variation of high frequency components of positive sequence current signals at the end of transmission line is considered. The results obtained from the analysis are used in order to locate faults with an application of travelling wave theory. It is found that the travelling wave theory cannot precisely locate simultaneous fault in an electrical power transmission system. © 2011 ISSN 2185-2766.
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Identification of simultaneous fault types in electrical power system using the comparisons technique of DWT coefficients
(2011-04-01)
Ngaopitakkul, A.
;
Apisit, C.
;
Jettanasen, C.
;
Pothisarn, C.
This paper is aimed to propose a novel distance relay algorithm, which includes the effect of simultaneous fault. The previous research paper can give an uncertain result in a fault classification during simultaneous faults. In order to overcome this problem, the comparison of coefficients of discrete wavelet transform (DWT) has been developed. The fault analysis is performed using PSCAD/EMTDC. The current waveforms obtained from PSCAD/EMTDC are extracted to several scales with the wavelet transform, and the coefficients of the first scale from the wavelet transform are investigated. The coefficient details of DWT at the first peak time that positive sequence current can detect fault, are performed as comparison indicator in order to classify fault types. It is found that the technique proposed in this paper gives satisfactory results in the simultaneous fault classification. © 2011 ISSN 2185-2766.
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Identification of fault location for simultaneous fault in distribution system using discrete wavelet transform
(2011-04-01)
Pothisarn, C.
;
Jettanasen, C.
;
Ngaopitakkul, A.
;
Apisit, C.
Currently, the most effective technique for identifying fault location, based on a travelling wave, has been proposed in several research papers. However, the effects of simultaneous faults have been neglected. In order to overcome this problem, a new algorithm will be developed in order to predict fault location precisely. This paper presents a technique to detect fault locations, during simultaneous fault, in an underground distribution system using discrete wavelet transform (DWT). The DWT is used to detect the high frequency components. The time that the fault signal uses to reach the ends of the distribution line is considered, then, applied so that the distance of fault can be calculated. The result is found that the proposed algorithm gives satisfactory both in case of single fault and simultaneous fault. ICIC International © 2011.
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Coefficient comparison technique for identifying the fault types in underground cable
(2010-12-01)
Ngaopitakkul, A.
;
Kaitwanidvilai, S.
;
Apisit, C.
This paper proposes a novel comparison technique for identifying the phase with fault appearance in underground cable using Discrete Wavelet Transform. The Wavelet transform has been employed to extract high frequency components superimposed on fault signals simulated using ATP/EMTP. The fault type algorithm is constructed on the basis of coefficient comparison from signals decomposed from Discrete Wavelet Transform. Various cases studies based on Thailand electricity distribution underground systems have been investigated so that the algorithm can be implemented. It is found that the proposed method can indicate the fault types with satisfactory accuracy. ©2010 IEEE.
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Identification of fault locations in underground distribution system using Discrete Wavelet Transform
(2010-12-01)
Ngaopitakkul, A.
;
Apisit, C.
;
Pothisarn, C.
;
Jettanasen, C.
;
Jaikhan, S.
In this paper, a technique for detecting faults in underground distribution system is presented. Discrete Wavelet Transform (DWT) based on traveling wave is employed in order to detect the high frequency components and to identify fault locations in the underground distribution system. The first peak time obtained from the faulty bus is employed for calculating the distance of fault from sending end. The validity of the proposed technique is tested with various fault inception angles, fault locations and faulty phases. The result is found that the proposed technique provides satisfactory result and will be very useful in the development of power systems protection scheme.
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Identification of fault types for underground cable using discrete Wavelet transform
(2010-12-01)
Apisit, C.
;
Ngaopitakkul, A.
In this paper, a technique for identifying the phase with fault appearance in underground cable is presented. The Wavelet transform has been employed to extract high frequency components superimposed on fault signals simulated using ATP/EMTP. The coefficients obtained from the Wavelet transform are used in constructing a decision algorithm. Various cases have been investigated so that the algorithm can be implemented. It is found that the proposed method can indicate the fault types with satisfactory accuracy.

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