Instability Monitoring and Control of Power Systems
| dc.contributor.advisor | Abed, Eyad H. | en_US |
| dc.contributor.author | Abed, Eyad H. | en_US |
| dc.contributor.author | Hassouneh, Munther A. | en_US |
| dc.contributor.author | Saad, Mohamed S. | en_US |
| dc.contributor.department | ISR | en_US |
| dc.date.accessioned | 2007-05-23T10:15:32Z | |
| dc.date.available | 2007-05-23T10:15:32Z | |
| dc.date.issued | 2004 | en_US |
| dc.description.abstract | Today'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.extent | 201037 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/1903/6448 | |
| dc.language.iso | en_US | en_US |
| dc.relation.ispartofseries | ISR; TR 2004-36 | en_US |
| dc.subject | Sensor-Actuator Networks | en_US |
| dc.title | Instability Monitoring and Control of Power Systems | en_US |
| dc.type | Technical Report | en_US |
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