Parameter Estimation of Electromechanical Oscillation Based on a Constrained EKF with C&I-PSO

Yonghui Sun, Yi Wang, Linquan Bai, Yinlong Hu, Denis Sidorov and Daniil Panasetsky
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Yonghui Sun: College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
Yi Wang: College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
Linquan Bai: ABB Inc., Raleigh, NC 27606, USA
Yinlong Hu: College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
Denis Sidorov: Melentiev Energy Systems Institute, Russian Academy of Sciences, Irkutsk 664033, Russia
Daniil Panasetsky: Melentiev Energy Systems Institute, Russian Academy of Sciences, Irkutsk 664033, Russia

Energies, 2018, vol. 11, issue 8, 1-15

Abstract: By combining together the extended Kalman filter with a newly developed C&I particle swarm optimization algorithm (C&I-PSO), a novel estimation method is proposed for parameter estimation of electromechanical oscillation, in which critical physical constraints on the parameters are taken into account. Based on the extended Kalman filtering algorithm, the constrained parameter estimation problem is formulated via the projection method. Then, by utilizing the penalty function method, the obtained constrained optimization problem could be converted into an equivalent unconstrained optimization problem; finally, the C&I-PSO algorithm is developed to address the unconstrained optimization problem. Therefore, the parameters of electromechanical oscillation with physical constraints can be successfully estimated and better performed. Finally, the effectiveness of the obtained results has been illustrated by several test systems.

Keywords: constrained parameter estimation; extended Kalman filter; power systems; C&I particle swarm optimization; ringdown detection (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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