An adaptive single pole autoreclosure based on zero sequence power

Elkalashy, Nagy I.; Darwish, H.A.; Taalab, Abdel-Maksoud I.; Izzularab, Mohamed A.

doi:10.1016/j.epsr.2006.04.006

Cited by 50 publications

(27 citation statements)

References 12 publications

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“…This is a significant advantage of the proposed method. Figure 12 shows performance of the proposed algorithm when compared with the methods described in References [2,14] and [15]. The comparison is based on the operation time of the different methods for different fault location and pre-fault load angle.…”

Section: Transmission Line With Reactor Compensationmentioning

confidence: 99%

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Adaptive single pole auto-reclosing using discrete wavelet transform

Jamali

Ghaffarzadeh

2010

Euro. Trans. Electr. Power

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SUMMARYThis paper proposes a new algorithm for adaptive single pole auto-reclosing (SPAR) using discrete wavelet transform (DWT). The faulted phase voltage signal is captured at a sampling rate of 2.5 kHz. The sym8 wavelet function is used to decompose the signal into level 1 and to define an index function (INDF), which is obtained from the sum of absolute values of detail coefficients of the captured signal at the level 1 resolution. Finally, a decision function (DEF) is defined by computing the second derivative of the INDF. By evaluating the sign of the DEF, transient (arcing) faults are distinguished from permanent faults and also the secondary arc extinction instant can be identified. The significant advantage of the proposed algorithm is that it does not require any threshold level and therefore its performance is independent of fault location, line parameters and operating conditions. Furthermore, it can be used in transmission lines with reactor compensation. The proposed method has been successfully tested under a variety of fault location and load angle on a 400 kV overhead line, with and without reactor compensation, using the Electro-Magnetic Transient Program. The test results validate the algorithm ability in distinguishing between arcing and permanent faults and determining the instant of secondary arc extinction.

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Section: Transmission Line With Reactor Compensationmentioning

confidence: 99%

“…The fundamental component of the zero sequence power at the both ends of a line is used in Reference [14] to detect the extinction time of the secondary arc. Authors of Reference [15] present a new method for SPAR based on the zero sequence voltage.…”

Section: Introductionmentioning

confidence: 99%

Adaptive single pole auto-reclosing using discrete wavelet transform

Jamali

Ghaffarzadeh

2010

Euro. Trans. Electr. Power

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“…Various alternatives have been performed for fault type diagnosis [3][4][5][6][7][8][9][10][11][12][13][14][15]. For instance, the RMS of faulty phase voltage was used in [5].…”

Section: Introductionmentioning

confidence: 99%

“…The algorithm of [7] was based on the low-frequency components of the faulted phase voltage. The method of [8] used the fundamental component of zero sequence power in both line terminals. Neural network was presented in [9] to carry out the identification task.…”

Section: Introductionmentioning

confidence: 99%

A Novel Algorithm for Fault Type Fast Diagnosis in Overhead Transmission Lines Using Hidden Markov Models

Jannati¹,

Jazebi²,

Vahidi³

et al. 2011

Journal of Electrical Engineering and Technology

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-Power transmission lines are one of the most important components of electric power system. Failures in the operation of power transmission lines can result in serious power system problems. Hence, fault diagnosis (transient or permanent) in power transmission lines is very important to ensure the reliable operation of the power system. A hidden Markov model (HMM), a powerful pattern recognizer, classifies events in a probabilistic manner based on fault signal waveform and characteristics. This paper presents application of HMM to classify faults in overhead power transmission lines. The algorithm uses voltage samples of one-fourth cycle from the inception of the fault. The simulation performed in EMTPWorks and MATLAB environments validates the fast response of the classifier, which provides fast and accurate protection scheme for power transmission lines.

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“…In 1980s, Professor Ge Yaozhong put forward the idea of "adaptive reclosure" [2] arousing wide attention of experts and scholars in electrical engineering from domestic and foreign. A wealth of achievements have been made in the study of the two arc characteristics [3], the voltage characteristics [4] [5], the current characteristics of shunt reactor [6] [7] [8] and the characteristic of model parameters [9] [10]. The practical application is difficult since neural network based on the need to train a large number of samples [11] [12].…”

Section: Introductionmentioning

confidence: 99%

Permanent Fault Identification Method for Single-Phasea Adaptive Reclosure of UHVAC Transmission Line

Du¹,

Li²,

Zhang³

2017

EPE

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In order to avoid the UHVAC (Ultra High Voltage Alternating Current) transmission line with shunt reactor fault voltage smaller problems, through the analysis of single-phase permanent fault when tripping phase terminal voltage characteristics, this paper presents a fault phase voltage signal of the two order derivative and the original signal ratio of a new method for steadystate frequency discrimination single-phase permanent fault. The principle of this method is simple, and it can avoid the problem that the fault voltage caused by the installation of shunt reactor is small. The adaptability and correctness of the proposed method are verified by a large number of simulations.

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An adaptive single pole autoreclosure based on zero sequence power

Cited by 50 publications

References 12 publications

Adaptive single pole auto-reclosing using discrete wavelet transform

Adaptive single pole auto-reclosing using discrete wavelet transform

A Novel Algorithm for Fault Type Fast Diagnosis in Overhead Transmission Lines Using Hidden Markov Models

Permanent Fault Identification Method for Single-Phasea Adaptive Reclosure of UHVAC Transmission Line

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