A comparative study above two self-tuning controllers with application to the control of synchronous generator excitation system
Ioan Filip, Daniel Curiac, Octavian Prostean, Iosif Szeidert

TL;DR
This paper compares two self-tuning control strategies for synchronous generator excitation systems, utilizing recursive least squares estimation and simulation to evaluate their effectiveness.
Contribution
It introduces and compares two self-tuning control structures specifically designed for synchronous generator excitation control using RLSE.
Findings
Both control structures effectively regulate the generator excitation system.
Simulation results demonstrate differences in performance and robustness.
The study provides insights into the suitability of each control method.
Abstract
This paper presents two self-tuning control structures synthesized through the minimization of two criterion functions. It is described the computation methodology of the control laws, both being particularized for the case of the synchronous generator's excitation control. The parameters estimator is considered the recursive least square error (RLSE) algorithm. In order to validate the considered control structures, two comparative study cases by computer simulation are presented.
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Taxonomy
TopicsPower System Optimization and Stability · Wind Turbine Control Systems · Islanding Detection in Power Systems
