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Instability Monitoring and Control of Power Systems

dc.contributor.advisorAbed, Eyad H.en_US
dc.contributor.authorAbed, Eyad H.en_US
dc.contributor.authorHassouneh, Munther A.en_US
dc.contributor.authorSaad, Mohamed S.en_US
dc.description.abstractToday's electric power systems are often subject to stress by heavy loading conditions, resulting in operation with a small margin of stability. This has led to research on estimating the distance to instability. Most of these research efforts are solely model-based. In this work, a signal-based approach for real-time detection of impending instability is considered. The main idea pursued here involves using a small additive white Gaussian noise as a probe signal and monitoring the spectral density of one or more measured states for certain signatures of impending instability. Input-to-state participation factors are introduced as a tool to aid in selection of locations for probe inputs and outputs to be monitored. Since these participation factors are model-based, the chapter combines signal-based and model-based ideas toward achieving a robust methodology for instability monitoring.en_US
dc.format.extent201037 bytes
dc.relation.ispartofseriesISR; TR 2004-36en_US
dc.subjectSensor-Actuator Networksen_US
dc.titleInstability Monitoring and Control of Power Systemsen_US
dc.typeTechnical Reporten_US

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