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Fault Detection in Electrical Power Transmission Systems Using Artificial Neural Network Algorithms

dc.contributor.authorAbbott, Temple Olotu
dc.date.accessioned2024-11-28T14:04:05Z
dc.date.available2024-11-28T14:04:05Z
dc.date.issued2024-02-10
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/123456789/5157
dc.descriptionMain Thesisen_US
dc.description.abstractThe reliability and stability of electrical power transmission systems are critical for ensuring uninterrupted power supply. Fault detection in these systems is a significant challenge due to the complexity and dynamic nature of the electrical grid. This thesis presents a novel approach for fault detection in electrical power transmission systems using an Artificial Neural Network (ANN) algorithms. The proposed method leverages the pattern recognition capabilities of ANNs to accurately identify and classify various types of faults, including Voltage and Frequency anomalies. By analyzing these anomalies at one end of the transmission line, the ANN model is trained to detect anomalies and predict fault conditions with high precision. The performance of the ANN-based fault detection system is evaluated and validated through extensive simulations in the MATLAB environment, demonstrating its effectiveness in real-time fault detection and classification. The results indicate that the ANN algorithm not only enhances the speed and accuracy of fault detection but also reduces the risk of power outages and equipment damage. This research contributes to the development of more resilient and intelligent Power Transmission Systems, paving the way for future advancements in Smart Grid technologies.en_US
dc.description.sponsorshipAUSTen_US
dc.language.isoenen_US
dc.publisherAUSTen_US
dc.subjectArtificial Intelligence (AI)en_US
dc.subjectArtificial Neural Networks (ANN)en_US
dc.subjectPower Transmission Systemsen_US
dc.subjectSmart Grid Technologiesen_US
dc.subjectMATLABen_US
dc.subjectEngr. Dr. Felix Aleen_US
dc.subjectFault Detection in Electrical Power Transmission Systems Using Artificial Neural Network Algorithmsen_US
dc.subject2024 Systems Engineering Masters Thesesen_US
dc.titleFault Detection in Electrical Power Transmission Systems Using Artificial Neural Network Algorithmsen_US
dc.typeThesisen_US


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  • Systems Engineering3

    This collection contains the research work of Systems Engineering MSc Student's Theses from 2021-2022

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