Enhanced automatic voltage regulation using an extended PIDA controller optimised by the snake algorithm
dc.contributor.author | Chetty, Nelson Dhanpal | |
dc.contributor.author | Gandhi, Ravi | |
dc.contributor.author | Sharma, Gulshan | |
dc.contributor.author | Celik, Emre | |
dc.contributor.author | Kumar, Rajesh | |
dc.date.accessioned | 2025-10-11T20:48:27Z | |
dc.date.available | 2025-10-11T20:48:27Z | |
dc.date.issued | 2025 | |
dc.department | Düzce Üniversitesi | en_US |
dc.description.abstract | Maintaining voltage stability within acceptable limits is crucial in power systems, with Automatic Voltage Regulation (AVR) ensuring consistent performance. Traditionally, PID controllers have been widely used; however, they struggle in complex, nonlinear environments with fluctuating conditions and disturbances. This study proposes an Extended PID-Acceleration (ePIDA) controller incorporating a novel state observer-based Disturbance Observer (DOB) for enhanced voltage regulation. The Snake Optimiser (SO) is introduced for the first time in AVR tuning, leveraging its dynamic leader-follower mechanism to achieve faster convergence and optimal controller gains. The SO-ePIDA framework extends the traditional PIDA structure with a three-degree-offreedom (3DOF) approach, enhancing setpoint tracking and disturbance rejection. The proposed approach is evaluated against six widely used optimisation strategies through comparative statistical and graphical analyses, considering step-load variations and system parameter settings. Results demonstrate that the SO-ePIDA controller achieves a rise time of 0.1679 s, a settling time of 0.3123 s, and the lowest ISTAE value of 0.0046, ensuring superior transient response and steady-state accuracy. Furthermore, under a 30 % step-load disturbance, the proposed controller exhibits the fastest recovery time of 0.1065 s, significantly outperforming other methods. The AVR system was tested with +25 % and +50 % variations in system parameters to assess robustness under parametric uncertainty. The results confirm that the SO-ePIDA controller maintains stability, with rise time deviations limited to 0.1577 and 0.2004 s and ISTAE variations between 0.0116 and 0.1891, demonstrating strong adaptability under extreme operating conditions. These findings establish the SO-ePIDA framework as a robust, high-performance solution for real-world AVR applications. | en_US |
dc.identifier.doi | 10.1016/j.rineng.2025.105181 | |
dc.identifier.issn | 2590-1230 | |
dc.identifier.scopus | 2-s2.0-105004260859 | en_US |
dc.identifier.scopusquality | Q1 | en_US |
dc.identifier.uri | https://doi.org/10.1016/j.rineng.2025.105181 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12684/21932 | |
dc.identifier.volume | 26 | en_US |
dc.identifier.wos | WOS:001509798000001 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.ispartof | Results in Engineering | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.snmz | KA_WOS_20250911 | |
dc.subject | Disturbance observer | en_US |
dc.subject | Snake optimizer | en_US |
dc.subject | Voltage Regulation | en_US |
dc.subject | PIDa Controller | en_US |
dc.title | Enhanced automatic voltage regulation using an extended PIDA controller optimised by the snake algorithm | en_US |
dc.type | Article | en_US |