Published: July 6, 2024
Language: Английский
e-Prime - Advances in Electrical Engineering Electronics and Energy, Journal Year: 2025, Volume and Issue: unknown, P. 100937 - 100937
Published: Feb. 1, 2025
Language: Английский
Citations
2
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
29
Electrical Engineering, Journal Year: 2024, Volume and Issue: unknown
Published: March 29, 2024
Language: Английский
Citations
8
Transactions of the Institute of Measurement and Control, Journal Year: 2024, Volume and Issue: 46(10), P. 1924 - 1942
Published: Jan. 18, 2024
This paper introduces a novel metaheuristic algorithm named the opposition-based cooperation search with Nelder–Mead (OCSANM). enhanced builds upon (CSA) by incorporating learning (OBL) and simplex method. The primary application of this is design fractional-order proportional–integral–derivative (FOPID) controller for buck converter system. A comprehensive evaluation conducted using statistical boxplot analysis, nonparametric tests convergence response comparisons to assess algorithm’s performance confirm its superiority over CSA. Furthermore, FOPID-controlled system based on OCSANM compared two top-performing algorithms: one hybridized approach Lévy flight distribution simulated annealing (LFDSA) other employing improved hunger games (IHGS) algorithm. comparison encompasses transient frequency responses, indices robustness analysis. results reveal notable advantages proposed OCSANM-based system, including 25.8% 8.7% faster rise times, 26% 8.8% settling times best-performing approaches, namely LFDSA IHGS, respectively. In addition, exhibits 34.7% 9.6% wider bandwidth than existing approaches-based systems. Incorporating voltage current responses converter’s switched circuit FOPID further underscores effectiveness. To provide assessment, also compares approach’s time domain those 17 state-of-the-art approaches attempting control systems similarly. These findings affirm effectiveness in designing controllers
Language: Английский
Citations
6
PLoS ONE, Journal Year: 2024, Volume and Issue: 19(5), P. e0299009 - e0299009
Published: May 28, 2024
Maintaining stable voltage levels is essential for power systems’ efficiency and reliability. Voltage fluctuations during load changes can lead to equipment damage costly disruptions. Automatic regulators (AVRs) are traditionally used address this issue, regulating generator terminal voltage. Despite progress in control methodologies, challenges persist, including robustness response time limitations. Therefore, study introduces a novel approach AVR control, aiming enhance efficiency. A custom optimizer, the quadratic wavelet-enhanced gradient-based optimization (QWGBO) algorithm, developed. QWGBO refines (GBO) by introducing exploration exploitation improvements. The algorithm integrates interpolation mutation wavelet strategy search Extensive tests using benchmark functions demonstrate QWGBO’s effectiveness optimization. Comparative assessments against existing algorithms recent techniques confirm superior performance. In coupled with cascaded real proportional-integral-derivative second order derivative (RPIDD 2 ) fractional-order proportional-integral (FOPI) controller, precision, stability, quick response. algorithm’s performance verified through rigorous simulations, emphasizing its optimizing complex engineering problems. analyses highlight superiority over algorithms, positioning it as promising solution system contributing advancement of robust efficient systems.
Language: Английский
Citations
6
Journal of Computational Design and Engineering, Journal Year: 2023, Volume and Issue: 10(6), P. 2223 - 2250
Published: Oct. 26, 2023
Abstract The coati optimization algorithm (COA) is a meta-heuristic proposed in 2022. It creates mathematical models according to the habits and social behaviors of coatis: (i) In group organization coatis, half coatis climb trees chase their prey away, while other wait beneath catch it (ii) Coatis avoidance predators behavior, which gives strong global exploration ability. However, over course our experiment, we uncovered opportunities for enhancing algorithm’s performance. When confronted with intricate problems, certain limitations surfaced. Much like long-nosed raccoon gradually narrowing its search range as approaches optimal solution, COA exhibited tendencies that could result reduced convergence speed risk becoming trapped local optima. this paper, propose an improved (ICOA) enhance efficiency. Through sound-based envelopment strategy, can capture more quickly accurately, allowing converge rapidly. By employing physical exertion have greater variety escape options when being chased, thereby exploratory capabilities ability Finally, lens opposition-based learning strategy added improve To validate performance ICOA, conducted tests using IEEE CEC2014 CEC2017 benchmark functions, well six engineering problems.
Language: Английский
Citations
14
International Journal of Cognitive Computing in Engineering, Journal Year: 2024, Volume and Issue: 6, P. 74 - 99
Published: Dec. 2, 2024
Language: Английский
Citations
5
Results in Engineering, Journal Year: 2024, Volume and Issue: 24, P. 103089 - 103089
Published: Oct. 18, 2024
Language: Английский
Citations
4
International Journal of Electrical Power & Energy Systems, Journal Year: 2024, Volume and Issue: 162, P. 110266 - 110266
Published: Oct. 19, 2024
Language: Английский
Citations
4
Energies, Journal Year: 2025, Volume and Issue: 18(6), P. 1337 - 1337
Published: March 8, 2025
Power system stability is managed through various control loops, including the Automatic Voltage Regulator (AVR), which regulates terminal voltage of synchronous generators. This study integrated Fuzzy Logic Control (FLC) and a Proportional–Integral–Derivative controller with Filtered derivative action (PIDF) to propose hybrid PIDF enhanced by Fractional-Order Proportional-Derivative (FOPD) for AVR applications. For first time, newly introduced Sand Cat Swarm Optimization (SCSO) algorithm was applied tune parameters proposed fuzzy controller. The SCSO has been recognized as powerful optimization tool demonstrated success across engineering well-known Particle (PSO) also utilized in this optimize gains plus FOPD novel configuration that designed be robust technique achieve an excellent performance. In research, + optimized using PSO algorithms minimizing Integral Time Absolute Error (ITAE) objective function enhance overall performance systems. A comparative analysis conducted evaluate superiority approach benchmarking results against those other controllers reported literature. Furthermore, robustness assessed under parametric uncertainties varying load disturbances. Also, its examined disturbances signal. demonstrate tuned delivers exceptional controller, outperforming controllers. Additionally, findings confirm uncertainties, establishing potential successful implementation real-time
Language: Английский
Citations
0