A Novel Balanced Arithmetic Optimization Algorithm-Optimized Controller for Enhanced Voltage Regulation
This work introduces an innovative approach that unites a PIDND<sup>2</sup>N<sup>2</sup> controller and the balanced arithmetic optimization algorithm (b-AOA) to enhance the stability of an automatic voltage regulator (AVR) system. The PIDND<sup>2</sup>N<sup>...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/11/23/4810 |
| _version_ | 1797399820441223168 |
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| author | Serdar Ekinci Haluk Çetin Davut Izci Ercan Köse |
| author_facet | Serdar Ekinci Haluk Çetin Davut Izci Ercan Köse |
| author_sort | Serdar Ekinci |
| collection | DOAJ |
| description | This work introduces an innovative approach that unites a PIDND<sup>2</sup>N<sup>2</sup> controller and the balanced arithmetic optimization algorithm (b-AOA) to enhance the stability of an automatic voltage regulator (AVR) system. The PIDND<sup>2</sup>N<sup>2</sup> controller, tailored for precision, stability, and responsiveness, mitigates the limitations of conventional methods. The b-AOA optimizer is obtained through the integration of pattern search and elite opposition-based learning strategies into the arithmetic optimization algorithm. This integration optimizes the controller parameters and the AVR system’s response, harmonizing exploration and exploitation. Extensive assessments, including evaluations on 23 classical benchmark functions, demonstrate the efficacy of the b-AOA. It consistently achieves accurate solutions, exhibits robustness in addressing a wide range of optimization problems, and stands out as a promising choice for various applications. In terms of the AVR system, comparative analyses highlight the superiority of the proposed approach in transient response characteristics, with the shortest rise and settling times and zero overshoot. Additionally, the b-AOA approach excels in frequency response, ensuring robust stability and a broader bandwidth. Furthermore, the proposed approach is compared with various state-of-the-art control methods for the AVR system, showcasing an impressive performance. These results underscore the significance of this work, setting a new benchmark for AVR control by advancing stability, responsiveness, and reliability in power systems. |
| first_indexed | 2024-03-09T01:46:36Z |
| format | Article |
| id | doaj.art-0e518590e23e48a1a317f5e9f3669231 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T01:46:36Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-0e518590e23e48a1a317f5e9f36692312023-12-08T15:21:50ZengMDPI AGMathematics2227-73902023-11-011123481010.3390/math11234810A Novel Balanced Arithmetic Optimization Algorithm-Optimized Controller for Enhanced Voltage RegulationSerdar Ekinci0Haluk Çetin1Davut Izci2Ercan Köse3Department of Computer Engineering, Batman University, 72100 Batman, TurkeyInstitute of Postgraduate Studies, Batman University, 72100 Batman, TurkeyDepartment of Computer Engineering, Batman University, 72100 Batman, TurkeyElectrical-Electronics Engineering Department, Tarsus University, 33400 Tarsus, TurkeyThis work introduces an innovative approach that unites a PIDND<sup>2</sup>N<sup>2</sup> controller and the balanced arithmetic optimization algorithm (b-AOA) to enhance the stability of an automatic voltage regulator (AVR) system. The PIDND<sup>2</sup>N<sup>2</sup> controller, tailored for precision, stability, and responsiveness, mitigates the limitations of conventional methods. The b-AOA optimizer is obtained through the integration of pattern search and elite opposition-based learning strategies into the arithmetic optimization algorithm. This integration optimizes the controller parameters and the AVR system’s response, harmonizing exploration and exploitation. Extensive assessments, including evaluations on 23 classical benchmark functions, demonstrate the efficacy of the b-AOA. It consistently achieves accurate solutions, exhibits robustness in addressing a wide range of optimization problems, and stands out as a promising choice for various applications. In terms of the AVR system, comparative analyses highlight the superiority of the proposed approach in transient response characteristics, with the shortest rise and settling times and zero overshoot. Additionally, the b-AOA approach excels in frequency response, ensuring robust stability and a broader bandwidth. Furthermore, the proposed approach is compared with various state-of-the-art control methods for the AVR system, showcasing an impressive performance. These results underscore the significance of this work, setting a new benchmark for AVR control by advancing stability, responsiveness, and reliability in power systems.https://www.mdpi.com/2227-7390/11/23/4810arithmetic optimization algorithmelite opposition-based learningpattern searchPIDND<sup>2</sup>N<sup>2</sup> controller |
| spellingShingle | Serdar Ekinci Haluk Çetin Davut Izci Ercan Köse A Novel Balanced Arithmetic Optimization Algorithm-Optimized Controller for Enhanced Voltage Regulation Mathematics arithmetic optimization algorithm elite opposition-based learning pattern search PIDND<sup>2</sup>N<sup>2</sup> controller |
| title | A Novel Balanced Arithmetic Optimization Algorithm-Optimized Controller for Enhanced Voltage Regulation |
| title_full | A Novel Balanced Arithmetic Optimization Algorithm-Optimized Controller for Enhanced Voltage Regulation |
| title_fullStr | A Novel Balanced Arithmetic Optimization Algorithm-Optimized Controller for Enhanced Voltage Regulation |
| title_full_unstemmed | A Novel Balanced Arithmetic Optimization Algorithm-Optimized Controller for Enhanced Voltage Regulation |
| title_short | A Novel Balanced Arithmetic Optimization Algorithm-Optimized Controller for Enhanced Voltage Regulation |
| title_sort | novel balanced arithmetic optimization algorithm optimized controller for enhanced voltage regulation |
| topic | arithmetic optimization algorithm elite opposition-based learning pattern search PIDND<sup>2</sup>N<sup>2</sup> controller |
| url | https://www.mdpi.com/2227-7390/11/23/4810 |
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