Estimating dynamic model parameters for adaptive protection and control in power system

Mohd Ariff, Mohd Aifaa and Abhinav, Kumar Singh and Bikash, Chandra Pa (2015) Estimating dynamic model parameters for adaptive protection and control in power system. IEEE Transactions On Power Systems, 30 (2). pp. 829-839. ISSN 1558-0679

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This paper presents a new approach in estimating important parameters of power system transient stability model such as inertia constant H and direct axis transient reactance in real time. It uses a variation of unscented Kalman filter (UKF) on the phasor measurement unit (PMU) data. The accurate estimation of these parameters is very important for assessing the stability and tuning the adaptive protection system on power swing relays. The effectiveness of the method is demonstrated in a simulated data from 16-machine 68-bus system model. The paper also presents the performance comparison between the UKF and EKF method in estimating the parameters. The robustness of method is further validated in the presence of noise that is likely to be in the PMU data in reality.

Item Type: Article
Uncontrolled Keywords: Measurement-based; parameters estimation; phasor measurement units; power system dynamic model; synchrophasors; unscented Kalman filter.
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001-1841 Production of electric energy or power. Powerplants. Central stations
Divisions: Faculty of Electrical and Electronic Engineering > Department of Electrical Engineering
Depositing User: Mrs. Mashairani Ismail
Date Deposited: 07 Dec 2021 04:29
Last Modified: 07 Dec 2021 04:29

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