Dynamic State Estimation of Synchronous Generator Rotor Angle Using PMU and EKF Under Stressed Conditions
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-15-7675-1_20
Reference11 articles.
1. Jaya CK, Sunitha R, Mathew AT (2015) State estimation using weighted least square method with minimum measurement data. In: 2015 international conference on control communication and computing India (ICCC), Trivandrum, pp 275–279
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3. Jha M, Chakrabarti S, Kyriakides, E (2015) Estimation of the rotor angle of a synchronous generator by using PMU measurements. In: 2015 IEEE Eindhoven PowerTech, Eindhoven, pp 1–6
4. Angel AD, Geurts P, Ernst D, Glavic M, Wehenkel L (2007) Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities. Neurocomputing. 70(16–18):2668–2678
5. Valverde G, Terzija V (2011) Unscented Kalman filter for power system dynamic state estimation. IET Gener Transm Distrib 5(1):29–37
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