A fault recognition method for transmission systems based on independent component analysis and convolutional neural networks

de Alencar, Guilherme Torres; dos Santos, Ricardo Caneloi; Neves, Aline

doi:10.1016/j.epsr.2023.110105

Electric Power Systems Research

2024

DOI: 10.1016/j.epsr.2023.110105

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A fault recognition method for transmission systems based on independent component analysis and convolutional neural networks

Guilherme Torres de Alencar,

Ricardo Caneloi dos Santos,

Aline Neves

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Cited by 2 publications

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Graph Theory-Based Fault Location Method for Transmission Systems With Renewable Energy Sources

Gonzalez,

Torres-García,

Guillen

et al. 2024

IEEE Open J. Power Energy

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Graph Theory-Based Fault Location Method for Transmission Systems With Renewable Energy Sources

Gonzalez,

Torres-García,

Guillen

et al. 2024

IEEE Open J. Power Energy

View full text Add to dashboard Cite

Role of artificial intelligence in transmission line protection: A review of three decades of research

Dash,

Abraham,

Kumar

et al. 2024

HIS

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The optimal functioning of the power system is crucially dependent upon the sound protection of its major stakeholder, i.e., the transmission line, as it is prone to fault. To maintain the integrity of the power system and protect costly power system equipment, protective relaying is necessary to provide a steady and affordable supply of electricity. Relays recognize, classify, and identify transmission line faults using input signals of voltage and current. Many artificial intelligent methods based on Expert Systems, Artificial Neural Networks, Fuzzy Logic, Support Vector Machines, Wavelet-based systems, and deep learning techniques are being investigated to improve modern digital relays’ consistency, speed, and accuracy. This paper is a comprehensive and all-inclusive survey that reviews and incorporates Phasor Measurement Unit (PMU) and Global Positioning System (GPS) approaches together with all of these intelligent transmission line safety strategies and concepts. Initial investigators will benefit from this study by being able to examine, evaluate, and analyze a variety of approaches with references for all relevant contributions.

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A fault recognition method for transmission systems based on independent component analysis and convolutional neural networks

Cited by 2 publications

References 21 publications

Graph Theory-Based Fault Location Method for Transmission Systems With Renewable Energy Sources

Graph Theory-Based Fault Location Method for Transmission Systems With Renewable Energy Sources

Role of artificial intelligence in transmission line protection: A review of three decades of research

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