Abrupt change detection of fault in power system using independent component analysis

Dubey, Harishchandra; Mohanty, Soumya R.; Kishore, Nand

doi:10.1109/icsccn.2011.6024633

Cited by 12 publications

(6 citation statements)

References 18 publications

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“…According to [23], an incipient fault is considered an arc fault that lasts for a harmless period of time in the SGS. Authors in [24], described the abrupt fault as the abrupt signals change due to power failure in the system [24]. Finally, the intermittent fault is a short duration transient that is deemed to be an incipient event which leads to a permanent fault in the system [25].…”

Section: Power Failure Categoriesmentioning

confidence: 99%

“…In addition, to detect and locate an incipient fault in underground cables, the impedance-based distribution method is recommended [26]. For intermittent faults, distance relays are used to monitor changing conditions which help detect intermittent faults [24]. Another method to detect an intermittent fault in the system is monitoring the carrier signal be-tween buses in the SGS [25].…”

Section: Power Failure Categoriesmentioning

confidence: 99%

“…Another method to detect an intermittent fault in the system is monitoring the carrier signal be-tween buses in the SGS [25]. Finally, to detect abrupt changes in the SGS, digital relays or the wavelet transformative and adaptive filter method can be used as reported in [24]. Equally important, authors in [28], reported that the temporary deviations of the load circuit model coefficients and wiring parameters is a promising method to detect arc fault in the system.…”

Section: Power Failure Categoriesmentioning

confidence: 99%

See 2 more Smart Citations

Review of Fault Types, Impacts, and Management Solutions in Smart Grid Systems

Mousa¹,

Abdelwahed²,

Klüss³

2019

SGRE

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Fault management study in smart grid systems (SGSs) is important to ensure the stability of the system. Also, it is important to know the major types of power failures for the effective operation of the SGS. This paper reviews diverse types of faults that might appear in the SGS and gives a survey about the impact of renewable energy resources (RERs) on the behavior of the system. Moreover, this paper offers different fault detection and localization techniques that can be used for SGSs. Furthermore, a potential fault management case study is proposed in this paper. The SGS model in this paper is investigated using both of the Matlab/Simulink and the Real Time Digital Simulation (RTDS) to compute the fault management study. Simulation results show the fast response to a power failure in the system which improves the stability of the SGS.

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Section: Power Failure Categoriesmentioning

confidence: 99%

Section: Power Failure Categoriesmentioning

confidence: 99%

Section: Power Failure Categoriesmentioning

confidence: 99%

See 1 more Smart Citation

Review of Fault Types, Impacts, and Management Solutions in Smart Grid Systems

Mousa¹,

Abdelwahed²,

Klüss³

2019

SGRE

View full text Add to dashboard Cite

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“…In ICA, the input data is modeled as linear coefficients that are mutually independent to each other. Based on the blind source separation algorithm, it can efficiently and accurately transform the input voltage signal into mutually and statistically independent components, thereby helps the detection process (Hyvärinen et al 2001, Pöyhönen et al 2003, Lopez et al 2011, & Dubey et al 2011.…”

Section: Independent Component Analysis (Ica)mentioning

confidence: 99%

Effect of ultrasonic pretreatment on the osmotic drying of ash gourd during Murabba processing

Mandal¹,

Nath²,

Sahoo³

2017

Computer, Communication and Electrical Technology

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“…Em Dubey et al (2011),é proposto um detector de faltas em SEP com vistasà aplicação em relés digitais baseado na ICA. Métodos tradicionais de detecção de faltas envolvem a comparacão entre os valores das amostras de corrente para dois ciclos consecutivos, com a falta sendo detectada se os valores da diferença forem maiores do que um certo limiar.…”

Section: Aplicações Da Ica Em Sep E Qeeunclassified

Uma nova metodologia para análise da qualidade da energia elétrica sob condições de ocorrência de múltiplos distúrbios

Lima¹

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Trata-se da versão corrigida da tese. A versão original se encontra disponível na EESC/USP que aloja o Programa de Pós-Graduação de Engenharia Elétrica. DedicatóriaDedico este trabalho ao meu avô Raimundo Feliciano Alves (in memoriam), com quem aprendi que as coisas simples da vida são as que trazem a verdadeira felicidade.i ii Agradecimentos A Deus, por ter me proporcionado força, dedicação, respeito e sabedoria para realizar este trabalho.A minha esposa Tatiana, pelo amor, apoio, carinho e bons conselhos.A meus pais, Márcio e Eva, por todo o amor incondicional, apoio, carinho e educação.Ao meu orientador, Prof. Denis Vinicius Coury, e ao meu co-orientador, Prof. Augusto Santiago Cerqueira, por confiarem no meu trabalho e na minha dedicação.Ao Laboratório de Sistemas de Energia Elétrica (LSEE), pela acomodação e infra-estrutura disponibilizados no desenvolvimento deste trabalho.A todos os amigos do LSEE, pela amizade, troca de experiências e momentos de descontração.Em especial, a Daniel Motter, Etienne, Hermes, Janison, Sérgio Pitombo e Ulisses. Ao Departamento de Engenharia Elétrica e de Computação da Escola de Engenharia de SãoCarlos, Universidade de São Paulo.Ao CNPq, pelo suporte financeiro proporcionado para o desenvolvimento deste trabalho. The power system is susceptible to the presence of several sources of disturbances that harm the power quality. In this sense, its voltages and/or currents may contain multiple disturbances with simultaneous occurrence. This work presents a methodology that decomposes the measured signal in components which estimate the waveforms of the individual disturbances followed by their recognition when a multiple disturbance situation occurs. The Independent Component Analysis (ICA) is the main tool in the disturbance decomposition stage. The ICA is originally a technique applied in multivariate data analysis, which means that it requires measurements from multiple sensors allocated in different positions of the system. However, this work proposes its application for a single measured signal available. For this, two methods were developed in order to provide the required diversity to the ICA technique. It is demonstrated that both methods are equivalent to an adaptive linear filter bank capable to perform an unsupervised separation of multiple independent disturbances, if they are spectrally disjoint. A classification system based on artificial neural networks is proposed to identify the disturbances decomposed by the previous stage. The complete system is tested using synthetic and actual data, presenting highly satisfactory results for the decomposition of signals containing multiple disturbances, and precision for the classification task above 97%.

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Abrupt change detection of fault in power system using independent component analysis

Cited by 12 publications

References 18 publications

Review of Fault Types, Impacts, and Management Solutions in Smart Grid Systems

Review of Fault Types, Impacts, and Management Solutions in Smart Grid Systems

Effect of ultrasonic pretreatment on the osmotic drying of ash gourd during Murabba processing

Uma nova metodologia para análise da qualidade da energia elétrica sob condições de ocorrência de múltiplos distúrbios

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