Analysis of the performance of PID-based new-generation metaheuristic algorithms for automatic voltage regulation system
Author: 
Yanxia SunAuthors Info & Claims
Pages 449 - 454
Abstract
In recent decades, the expansion of industrial organizations in both scale and scope has necessitated dependable output voltage supplies. However, persistent oscillations in electromechanical devices can impede power efficiency and stability, underscoring the importance of reliable automatic generation regulation (AVR) systems and power system design in the manufacturing sector. To address this issue, this study presents a performance analysis of a proportional integral derivative (PID) controller based on new-generation metaheuristic algorithms (MAs) for the AVR system. Five recent and novel MAs were employed to optimize the PID controller for the AVR system, with the controllers' performances evaluated under five distinct performance metrics. The findings revealed that the Northern Goshawk Optimization (NGO) algorithm was the most effective optimization approach, exhibiting the lowest values of overshoot (33.2784%), peak time (0.2120 s), and objective value (0.0077). These results suggest that the NGO algorithm is a promising optimization method for improving AVR system performance in industrial settings.
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- Analysis of the performance of PID-based new-generation metaheuristic algorithms for automatic voltage regulation system
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Published In
December 2023
563 pages
ISBN:9798400708688
DOI:10.1145/3638584
Copyright © 2023 Owner/Author.
This work is licensed under a Creative Commons Attribution International 4.0 License.
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Association for Computing Machinery
New York, NY, United States
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Published: 14 March 2024
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CSAI 2023
CSAI 2023: 2023 7th International Conference on Computer Science and Artificial Intelligence
December 8 - 10, 2023
Beijing, China
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