International Journal of Cognitive Computing in Engineering, Journal Year: 2024, Volume and Issue: 6, P. 74 - 99
Published: Dec. 2, 2024
Language: Английский
Scientific African, Journal Year: 2025, Volume and Issue: unknown, P. e02562 - e02562
Published: Jan. 1, 2025
Language: Английский
Citations
2
Engineering Science and Technology an International Journal, Journal Year: 2022, Volume and Issue: 35, P. 101264 - 101264
Published: Oct. 28, 2022
Voltage regulation in automatic voltage regulator (AVR) system has been one of the most challenging engineering problem due to uncertain load condition. Therefore, control AVR by using PID based controller is essential approach maintain performance system. Subsequently, application FOPID gaining more attention recently. This because additional parameters at derivative and integral parts than controller, which advantage improve output response while retaining robustness simple construction as controller. Nevertheless, many existing optimization tools for tuning are on multi-agent optimization, require large number function evaluation their algorithm that could lead high computational burden. this study proposes a modified smoothed (MSFA) method tune since it requires fewer per iteration. Moreover, proposed MSFA also can solve unstable convergence issue original (SFA), thus able provide better accuracy. The simulations step analysis, Bode plot trajectory tracking disturbance rejection parameter variation analysis conducted evaluate effectiveness MSFA-FOPID Consequently, results obtained from revealed highly effective significantly improved compared other controllers.
Language: Английский
Citations
50
Fractal and Fractional, Journal Year: 2023, Volume and Issue: 7(7), P. 561 - 561
Published: July 20, 2023
One of the most popular controllers for automatic voltage regulator (AVR) in maintaining level a synchronous generator is fractional-order proportional–integral-derivative (FOPID) controller. Unfortunately, tuning FOPID controller challenging since there are five gains compared to three conventional proportional–integral–derivative (PID) Therefore, this research work presents variant marine predators algorithm (MPA) AVR system. Here, two modifications applied existing MPA: hybridization between MPA and safe experimentation dynamics (SEDA) updating mechanism solve local optima issue, introduction tunable step size adaptive coefficient (CF) improve searching capability. The effectiveness proposed method system was assessed terms convergence curve objective function, statistical analysis Wilcoxon’s rank test, response analysis, stability analyses, robustness analyses where subjected noise, disturbance, parameter uncertainties. We have shown that our has improved system’s transient also produced about times better results function with other recent metaheuristic optimization-tuned controllers.
Language: Английский
Citations
42
Renewable and Sustainable Energy Reviews, Journal Year: 2023, Volume and Issue: 189, P. 114013 - 114013
Published: Oct. 31, 2023
Language: Английский
Citations
35
Neural Computing and Applications, Journal Year: 2023, Volume and Issue: 35(26), P. 19099 - 19115
Published: June 18, 2023
Language: Английский
Citations
32
Energy Reports, Journal Year: 2023, Volume and Issue: 9, P. 416 - 421
Published: Oct. 19, 2023
The fractional-order proportional-integral-derivative (FOPID) controller stands as a widely embraced choice for the task of automatic voltage regulation (AVR) when it comes to maintaining output synchronous generators. Nevertheless, fine-tuning FOPID presents formidable challenge, mainly because possesses five tuning gains, in contrast conventional PID controller, which has three gains. Consequently, this paper introduces novel tool tailored AVR system by utilizing marine predators algorithm (MPA). To gauge effectiveness proposed approach, two key evaluation criteria are employed: step response analysis and trajectory tracking analysis. results research reveal that MPA-FOPID demonstrates exceptional performance criteria, notably enhancing transient comparison other controllers optimized through recent metaheuristic algorithms.
Language: Английский
Citations
30
e-Prime - Advances in Electrical Engineering Electronics and Energy, Journal Year: 2023, Volume and Issue: 6, P. 100325 - 100325
Published: Oct. 16, 2023
Automatic voltage regulators (AVRs) are essential components in electrical systems to maintain stable output, ensuring optimal performance and equipment protection. The effectiveness of AVRs rely on key parameters such as regulation, response time, stability, efficiency. Integrating controllers with offers centralized monitoring enhancing output This study therefore first discusses various controller types which showcase distinctive capabilities based their tuning strategies then introduces an intelligent optimization approach using fractional-order proportional-integral-derivative double derivative (FOPIDD2) tailored for AVRs. adopts the artificial rabbits (ARO) algorithm, fortified adaptive local search (ALS) mechanism experience-based perturbed learning (EPL) strategy. modified version (m-ARO) enhances solution diversity navigational efficacy, resulting improved quality. study's core objective is demonstrate superior m-ARO-based FOPIDD2 addressing multifaceted challenges AVR control, outperforming conventional techniques speed response, robustness, To validate method's a comparative analysis conducted existing different algorithms. Results indicate that proposed achieves metrics, demonstrating its capability. also includes wider perspective by considering nineteen controllers, reported literature, comprehensive comparison. Notably, method exhibits best further affirming effectiveness.
Language: Английский
Citations
27
International Journal of Dynamics and Control, Journal Year: 2024, Volume and Issue: 12(7), P. 2550 - 2565
Published: Feb. 1, 2024
Language: Английский
Citations
15
Electrical Engineering, Journal Year: 2024, Volume and Issue: unknown
Published: March 29, 2024
Language: Английский
Citations
9
Neural Computing and Applications, Journal Year: 2024, Volume and Issue: 36(23), P. 14409 - 14431
Published: May 7, 2024
Abstract The primary objective of a power system is to provide safe and reliable electrical energy consumers. This achieved by maintaining the stability system, multifaceted concept that can be divided into three distinct classes. focus this study on one these classes, voltage stability. A critical component in automatic regulator (AVR) synchronous generators. In paper, novel control method, sigmoid-based fractional-order PID (SFOPID), introduced with aim improving dynamic response robustness AVR system. dandelion optimizer (DO), successful optimization algorithm, used optimize parameters proposed SFOPID strategy. process for DO-SFOPID strategy includes variety functions, including error-based metrics such as integral absolute error, squared time addition user-defined Zwee Lee Gaing’s metric. effectiveness technique has been rigorously investigated through series tests analyses, aspects domain, robustness, frequency evaluation nonlinearity effects. simulation results are compared between (FOPID) (SPID) techniques, both which have tuned using different metaheuristic algorithms gained significant recognition recent years. As result comparative superiority confirmed it shows an improved performance respect other techniques. Furthermore, validated within experimental setup show highly terms robustness. summary, provides comprehensive evidence supporting results.
Language: Английский
Citations
9