A Framework for Evaluating Automatic Classification of Underlying Causes of Disturbances and Its Application to Short-Circuit Faults

Morais, Jefferson; Pires, Yomara Pinheiro; Cardoso, Claudomir; Klautau, Aldebaro

doi:10.1109/tpwrd.2010.2052932

Cited by 24 publications

(17 citation statements)

References 21 publications

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“…The proposed method is applied on IEEE 118-bus test system where the results confirm its ability in wide-area fault diagnosis of large power networks.Although the need for smart fault location has been addressed as one of the most important components of the smart transmission grid [28], there are a few methods for fault diagnosis by synchronous phasor measurements. Some of these methods are based on data mining and machine learning techniques [29]. For instance, in [23], voltage phasors of a substation and current phasors of transmission lines connected to it are used for training an intelligent system based on support vector machine.…”

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A circuit approach to fault diagnosis in power systems by wide area measurement system

Dobakhshari

Ranjbar

2012

Int. Trans. Electr. Energ. Syst.

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SUMMARY Fault diagnosis following a disturbance in a power system is of great importance for the operators in the control center as a prerequisite for system restoration. In this article, for the first time, an analytic method for fault diagnosis, using the wide area measurement system (WAMS) and employing circuit rules, is developed. Instead of conventional information about status of protective relays and circuit breakers, voltage and current phasors at different points of the power network after fault occurrence are utilized. Because most of the power systems will be equipped with WAMS consisting of high‐speed sampling features, the proposed method introduces a new application of WAMS for fault diagnosis without the need for additional hardware. In this method, with the aid of network impedance matrix, analytic voltage and current phasors resulted after a fault in each of the fault candidate points are compared with those monitored by WAMS. The faulted point is where the best fitting coincides with the monitored voltage and current phasors. The proposed method is applied on IEEE 118‐bus test system where the results confirm its ability in wide‐area fault diagnosis of large power networks. Copyright © 2012 John Wiley & Sons, Ltd.

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A circuit approach to fault diagnosis in power systems by wide area measurement system

Dobakhshari

Ranjbar

2012

Int. Trans. Electr. Energ. Syst.

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“…The relevant features of these signals are obtained using ST, and then, the obtained features are used as input for multiple SVM classifiers, and their outputs are combined to classify the fault type [21]. Using frame-based sequence classification (FBSC), the Alternative Transient Program (ATP), and a public dataset, a framework was proposed for event classification in [22]. It was shown that the method can be used for classifying short-circuit faults in transmission lines.…”

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Two novel proposed discrete wavelet transform and filter based approaches for short-circuit faults detection in power transmission lines

Fathabadi

2015

Applied Soft Computing

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“…Apesar da tecnologia avançada, minerar tais dados para inferir, por exemplo, relações de causa e efeito é ainda uma atividade incipiente [4]. Uma das razões é a falta de ações para relacionar os eventos com dados adicionais que poderiam ajudar a inferir a causa.…”

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Avaliação de Técnicas de Mineração de Dados para Predição de Desligamentos em Sistemas Elétricos de Potência

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et al. 2015

Anais Do Simpósio Brasileiro De Sistemas De Informação (SBSI)

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A Framework for Evaluating Automatic Classification of Underlying Causes of Disturbances and Its Application to Short-Circuit Faults

Cited by 24 publications

References 21 publications

A circuit approach to fault diagnosis in power systems by wide area measurement system

A circuit approach to fault diagnosis in power systems by wide area measurement system

Two novel proposed discrete wavelet transform and filter based approaches for short-circuit faults detection in power transmission lines

Avaliação de Técnicas de Mineração de Dados para Predição de Desligamentos em Sistemas Elétricos de Potência

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