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Robust power system stabilizer tuning using genetic algorithm Cover

Robust power system stabilizer tuning using genetic algorithm

Open Access
|Jun 2025

Abstract

Significant changes in the energy sector are currently taking place, with conventional power sources being replaced by renewable energy sources. This trend leads to the reduction of the power system inertia and consequently weakens its dynamic stability. The damping of oscillations in the power system is significantly influenced by the excitation of synchronous generators, with the power system stabilizer (PSS) playing a crucial role. In this article a power system stabilizer design is offered that could meet any requirements formulated as the objective function. The proposed design of PSS also ensures robustness properties such as changes in the generator’s operating point and variations of the rotating system inertia. The PSS parameters are obtained through the minimization problem, and the genetic algorithm is used to perform this task. This design procedure could be used to obtain parameters for any structure of the power system stabilizer and in the example section it is used to design PSS2a to prove this concept.

DOI: https://doi.org/10.2478/jee-2025-0024 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
Language: English
Page range: 232 - 240
Submitted on: Mar 19, 2025
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Published on: Jun 19, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year

© 2025 Martin Ernek, Marián Tárník, Adrián Ilka, Róbert Málík, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.