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Author Sheirah, M. A.en_US
Author El-Sayed, M. A. H.en_US
Available date 2009-11-25T13:04:48Zen_US
Publication Date 1988en_US
Publication Name Engineering Journal of Qatar University
Citation Engineering Journal of Qatar University, 1988, Vol. 1, Pages 243-262.en_US
URI http://hdl.handle.net/10576/7897en_US
Abstract This paper outlines the main features of parameter identification in electric power systems. A series of recursive parameter identification techniques is presented, this containing the generalized — and extended least square techniques, the recursive maximum likelihood technique, the stochastic approximation method, and the gradient technique. These identification techniques are tested using a model of the interconnected power system of two areas to illustrate the applicability of discrete parameter identification for on-line computer control of power systems. The area control errors are considered as the controlled variables (system outputs). The changes in the governor gate position are the manipulated variables, and the variations in load are the disturbances. To evaluate the performance of the identification technique the integral of the error-squares criteria is used. This error is defined as the difference between the actual system output and the identified model output. A real time package to simulate the system and model of the identification techniques is designed and the performance of the system is recorded. PBRS is used as standard test signal during this study.en_US
Language enen_US
Publisher Qatar Universityen_US
Subject Control & Simulationen_US
Title Comparison of Recursive Parameter Identification Techniques for Computer Control of Power Systemsen_US
Type Articleen_US
Pagination 243-262en_US
Volume Number 1en_US


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