Research on State Estimation Method of Unscented Kalman Distribution Network Considering Measurement Correlation
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-9746-6_11
Reference16 articles.
1. Meliopoulos, A.P.S., Polymeneas, E., Tan, Z., et al.: Advanced distribution management system. IEEE Trans. Smart Grid 4(4), 2109–2117 (2013)
2. Abur, A., Exposito, A.G.: Power System State Estimation: Theory and Implementation. Marcel Dekker, New York (2004)
3. Zhao, J., Netto, M., Mili, L.: A robust iterated extended Kalman fllter for power system dynamic state estimation. IEEE Trans. Power Syst. 32(4), 3205–3216 (2017)
4. Valverde, G., Terzija, V.: Unscented Kalman filter for power system dynamic state estimation. IETGen. Transm. Distrib. 5(1), 29–37 (2011)
5. Zhao, J., Mili, L.:Robust unscented Kalman fllter for power system dynamic state estimation with unknown noise statistics. IEEE Trans. Smart Grid 10(2), 1215–1224 (2019)
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