Publication | Closed Access
Artificial neural networks for power systems diagnosis
21
Citations
3
References
1994
Year
Unknown Venue
Artificial IntelligenceFault DiagnosisEngineeringNeural Networks (Machine Learning)Neural NetworkDiagnosisFault ForecastingIntelligent SystemsSocial SciencesPower System AutomationPower SystemSystems EngineeringPower SystemsComputer ScienceNeural Networks (Computational Neuroscience)Automatic Fault DetectionArtificial Neural NetworksSmart GridIntelligent Mechanical SystemsFault DetectionIntelligent Systems Engineering
In this paper, we study the application of artificial neural networks to help a power system's operator to diagnose the faults during a disturbance. Towards this goal, an analysis of the training and simulation of an intelligent alarm processor of a simplified power system generation plant is presented in detail. This system is capable of diagnosing not only single faults but also multiple ones, even when the associated alarm set is incomplete. The results obtained demonstrate that neural network is a very powerful and reliable method for the solution of existing problems in power systems.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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