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Optimizing AVR system performance via a novel cascaded RPIDD2-FOPI controller and QWGBO approach.

Authors :
Ekinci S
Snášel V
Rizk-Allah RM
Izci D
Salman M
Youssef AAF
Source :
PloS one [PLoS One] 2024 May 28; Vol. 19 (5), pp. e0299009. Date of Electronic Publication: 2024 May 28 (Print Publication: 2024).
Publication Year :
2024

Abstract

Maintaining stable voltage levels is essential for power systems' efficiency and reliability. Voltage fluctuations during load changes can lead to equipment damage and costly disruptions. Automatic voltage regulators (AVRs) are traditionally used to address this issue, regulating generator terminal voltage. Despite progress in control methodologies, challenges persist, including robustness and response time limitations. Therefore, this study introduces a novel approach to AVR control, aiming to enhance robustness and efficiency. A custom optimizer, the quadratic wavelet-enhanced gradient-based optimization (QWGBO) algorithm, is developed. QWGBO refines the gradient-based optimization (GBO) by introducing exploration and exploitation improvements. The algorithm integrates quadratic interpolation mutation and wavelet mutation strategy to enhance search efficiency. Extensive tests using benchmark functions demonstrate the QWGBO's effectiveness in optimization. Comparative assessments against existing optimization algorithms and recent techniques confirm QWGBO's superior performance. In AVR control, QWGBO is coupled with a cascaded real proportional-integral-derivative with second order derivative (RPIDD2) and fractional-order proportional-integral (FOPI) controller, aiming for precision, stability, and quick response. The algorithm's performance is verified through rigorous simulations, emphasizing its effectiveness in optimizing complex engineering problems. Comparative analyses highlight QWGBO's superiority over existing algorithms, positioning it as a promising solution for optimizing power system control and contributing to the advancement of robust and efficient power systems.<br />Competing Interests: The authors have declared that no competing interests exist.<br /> (Copyright: © 2024 Ekinci et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Subjects

Subjects :
Electric Power Supplies
Algorithms

Details

Language :
English
ISSN :
1932-6203
Volume :
19
Issue :
5
Database :
MEDLINE
Journal :
PloS one
Publication Type :
Academic Journal
Accession number :
38805494
Full Text :
https://doi.org/10.1371/journal.pone.0299009