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- W3206897783 abstract "Even though power system consists of protective devices like relays, circuit breakers, alarms, isolators, the operation of these elements is not fast enough to prevent the system from entering into unstable conditions. This can be avoided when the system is able to sense the changes before it goes to an abnormal or faulty state. The situational awareness about the system status leads to the improvement in power system reliability and stability. Protective relays settings are calculated offline and are not optimized based on the dynamic power system conditions. In interconnected elements, failure/degradation of any one of the element can affect system performance. Thus, knowledge of impact of the disturbance is necessary for performance assessment as well as automating the analysis of the bulk amount of data from the PMUs, RTUs and IEDs can be a challenge, due to its volume, velocity and variety. This paper presents development of a transient stability assessment method based on intelligent data analytical algorithms and processing techniques, with the use of anomaly detection architecture which follows a set of rules based on system parameter changes and steady-state validation. Simulation studies were performed to validate the result." @default.
- W3206897783 created "2021-10-25" @default.
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- W3206897783 date "2021-01-01" @default.
- W3206897783 modified "2023-09-24" @default.
- W3206897783 title "Data-Driven Power System Stability Analysis for Enhanced Situational Awareness" @default.
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- W3206897783 doi "https://doi.org/10.1007/978-981-16-1056-1_63" @default.
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