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RLS and Kalman Filter Identifiers Based Adaptive SVC Controller

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3 Author(s)
A. Barnawi ; Student, Department of Electrical and Computer Engineering, University of Calgary, AB T2N 1N4, Canada. ; A. Albakkar ; O. P. Malik

This paper presents a prospective application of a static VAr compensator (SVC) in power systems, with particular emphasis on the use of an SVC with a supplementary adaptive controller to enhance system damping. The SVC adaptive controller consists of an on-line identified system model and a pole-shift (PS) feedback controller. Recursive least squares (RLS) identification algorithm and Kalman Filter as a parameters estimator are used for on-line model identification to obtain a dynamic equivalent model of the system. The two methods are compared to determine the most appropriate identification algorithm for this application. The PS controller is then adapted using the identified model. The proposed technique is tested on a single machine infinite bus system and a fifth-order multi-machine system. The results obtained demonstrate improvement in the overall system damping characteristics by applying the proposed adaptive controller as well as an enhancement of the power system stability in comparison to the conventional controller.

Published in:

Power Symposium, 2007. NAPS '07. 39th North American

Date of Conference:

Sept. 30 2007-Oct. 2 2007