Modeling and Control of Automatic Voltage Regulation for a Hydro-Power Plant Using Advanced Model Predictive Control DOI

Rene Ebunle,

Willy Stephen Tounsi Fokui

Published: Jan. 1, 2024

Fluctuating voltage levels in the power grid necessitate use of automatic regulators (AVRs) to maintain stability. This study focuses on modeling and controlling an AVR a hydroelectric plant using Model Predictive Control (MPC) compares it with optimal PID controller designed from Artificial Bee Colony (ABC). A comprehensive mathematical model plant's regulation system is developed, considering dynamics. The MPC approach formulates predictive control algorithm optimize actions, minimizing deviations ensuring ABC-PID employs ABC automatically tune controller's parameters, adapting changing conditions. Extensive simulations evaluate frameworks, comparing performance, disturbance rejection, load change response, resilience uncertainties. Results demonstrate efficacy both approaches for precise stable operation. exhibits superior accuracy response time, showcasing its robustness compared recent methods systems. controllers are implemented Matlab/Simulink software, enhancing performance. research represents significant advancement engineers pursuing state-of-the-art regulation.

Language: Английский

Optimizing AVR system performance via a novel cascaded RPIDD2-FOPI controller and QWGBO approach DOI Creative Commons
Serdar Ekinci, Václav Snåšel, Rizk M. Rizk‐Allah

et al.

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
Enhancing load frequency control and automatic voltage regulation in Interconnected power systems using the Walrus optimization algorithm DOI Creative Commons
Ark Dev, Kunalkumar Bhatt,

Bappa Mondal

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 13, 2024

This paper introduces the Walrus Optimization Algorithm (WaOA) to address load frequency control and automatic voltage regulation in a two-area interconnected power systems. The are critical for maintaining quality by ensuring stable levels. parameters of fractional order Proportional-Integral-Derivative (FO-PID) controller optimized using WaOA, inspired social foraging behaviors walruses, which inhabit arctic sub-arctic regions. proposed method demonstrates faster convergence improved tie-line stabilization compared recent optimization algorithms such as salp swarm, whale optimization, crayfish secretary bird hippopotamus brown bear teaching learning artificial gorilla troop wild horse optimization. MATLAB simulations show that WaOA-tuned FO-PID improves approximately 25%, exhibits considerable settling time. Bode plot analyses confirm stability with gain margins 5.83 dB 9.61 dB, phase 10.8 degrees 28.6 two areas respectively. system modeling validation showcases superior performance reliability enhancing under step, random step disturbance, nonlinearities like GDC GDB, parameter variations.

Language: Английский

Citations

5
A Novel Salp Swarm Optimization Oriented 3-DOF-PIDA Controller Design for Automatic Voltage Regulator System DOI Creative Commons
Nelson Dhanpal Chetty, Gulshan Sharma, Ravi V. Gandhi

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 20181 - 20196

Published: Jan. 1, 2024

Voltage stability is critical in electrical power systems, and automatic voltage regulators play a crucial role maintaining levels within permissible limits. Due to their simplicity effectiveness, traditional Proportional-Integral-Derivative (PID) controllers have been widely used regulation. However, they may not always perform optimally complex under varying operating conditions external disturbances. This research introduces an integrated approach of employing 3-degrees freedom-PID-Acceleration (3-DOF-PIDA) controller coupled with disturbance observer-based control strategy. combination embedded simple but effective salp swarm optimisation algorithm. novel the combined 3-DOF-PIDA, observer will enhance regulation system. The proposed strategy incorporates acceleration component continuously adjust its parameters based on system dynamics. Simultaneously, responsible for estimating compensating disturbances, further improving system's performance. applied optimise both PIDA observer's find optimal solutions that improve rejection capabilities. results are established by performing statistical graphical analysis time-varying step load fluctuations, various parameter variations. validated comparisons five popular optimization algorithms found reviewed literature. investigations demonstrate this new provides outstanding performance, presence substantial fluctuations uncertainties.

Language: Английский

Citations

4
Designing a Filtered Proportional–Integral–Derivative Controller With Disturbance Rejection for a Nonideal Buck Converter Utilizing an Upgraded Genetic Algorithm and Pattern Search DOI Creative Commons
Cihan Ersalı, Baran Hekimoğlu, Musa Yılmaz

et al.

Advanced Control for Applications, Journal Year: 2025, Volume and Issue: 7(1)

Published: Feb. 11, 2025

ABSTRACT This research introduces an enhanced metaheuristic algorithm named GAPS, a combination of the genetic (GA) with tournament selection (TS) and pattern search (PS) algorithm. The primary objective is improving GA's capacity for exploring exploiting potential solutions. proposed optimizes Nonideal buck converter's output voltage controlled by proportional–integral–derivative (PID) controller added low‐pass filter (PID‐N‐F). carefully designed, incorporating strategically imposed crossover frequency constraint to counteract signal noise at higher frequencies. approach ensures robust performance in presence various disturbances. algorithm's effectiveness evaluated using statistical box plots comparing convergence rates standard GA method. It also compared how GAPS‐optimized PID‐N‐F performs converter relative classical pole placement (PP) comprehensive evaluation covers robustness analysis, transient responses, load input variation as disturbance rejection. results indicate that GAPS‐based system better than GA‐ PP‐based systems aspects. These findings affirm system's superior stability, efficiency, alternatives.

Language: Английский

Citations

0
Intelligent control method for automatic voltage regulator: An improved coati optimization algorithm-based strategy DOI
Shuangxi Liu, Zehuai Lin,

Ruizhe Feng

et al.

Measurement, Journal Year: 2025, Volume and Issue: unknown, P. 117263 - 117263

Published: March 1, 2025

Language: Английский

Citations

0
Rotor angle stability enhancement using DDPG reinforcement agent with Gorilla troops optimized input scaling factors DOI Creative Commons
Ahmed H. Yakout, Ahmed E. B. Abu-Elanien, Hany M. Hasanien

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 23, 2025

Abstract This paper introduces a Reinforcement Learning (RL)-based Power System Stabilizer (PSS) with Deep Deterministic Policy Gradient (DDPG) algorithm for rotor angle stability. The proposed stabilizer uses scaled values of the generator’s accelerating power, derivative integration and generator real power as inputs. DDPG to train RL agent. Moreover, further enhance PSS performance, scaling factors input observations are optimized using Gorilla Troops Optimization (GTO) algorithm, which is known its robustness, fast convergence. Furthermore, reward considered discrete function that rewards generators’ samples when they below defined value. tested on three popular case studies: Single Machine connected an Infinite Bus (SMIB), Kundur’s four-machine system, IEEE 39 bus ten machine system. performance compared common PSSs: Multiband dw speed-based (MB-PSS), lead-lag (dw-PSS), dPa power-based (dPa-PSS). MATLAB simulations prove performs better than other PSSs. It shows higher transient stability capability even long duration faults.

Language: Английский

Citations

0
Modeling and Control of Automatic Voltage Regulation for a Hydropower Plant Using Advanced Model Predictive Control DOI Creative Commons
Ebunle Akupan Rene, Willy Stephen Tounsi Fokui

Global Energy Interconnection, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0
A Novel Balanced Arithmetic Optimization Algorithm-Optimized Controller for Enhanced Voltage Regulation DOI Creative Commons
Serdar Ekinci,

Haluk Çetin,

Davut İzci

et al.

Mathematics, Journal Year: 2023, Volume and Issue: 11(23), P. 4810 - 4810

Published: Nov. 28, 2023

This work introduces an innovative approach that unites a PIDND2N2 controller and the balanced arithmetic optimization algorithm (b-AOA) to enhance stability of automatic voltage regulator (AVR) system. The controller, tailored for precision, stability, responsiveness, mitigates limitations conventional methods. b-AOA optimizer is obtained through integration pattern search elite opposition-based learning strategies into algorithm. optimizes parameters AVR system’s response, harmonizing exploration exploitation. Extensive assessments, including evaluations on 23 classical benchmark functions, demonstrate efficacy b-AOA. It consistently achieves accurate solutions, exhibits robustness in addressing wide range problems, stands out as promising choice various applications. In terms system, comparative analyses highlight superiority proposed transient response characteristics, with shortest rise settling times zero overshoot. Additionally, excels frequency ensuring robust broader bandwidth. Furthermore, compared state-of-the-art control methods showcasing impressive performance. These results underscore significance this work, setting new by advancing reliability power systems.

Language: Английский

Citations

7
Modeling and Control of Automatic Voltage Regulation for a Hydro-Power Plant Using Advanced Model Predictive Control DOI

Rene Ebunle,

Willy Stephen Tounsi Fokui

Published: Jan. 1, 2024

Fluctuating voltage levels in the power grid necessitate use of automatic regulators (AVRs) to maintain stability. This study focuses on modeling and controlling an AVR a hydroelectric plant using Model Predictive Control (MPC) compares it with optimal PID controller designed from Artificial Bee Colony (ABC). A comprehensive mathematical model plant's regulation system is developed, considering dynamics. The MPC approach formulates predictive control algorithm optimize actions, minimizing deviations ensuring ABC-PID employs ABC automatically tune controller's parameters, adapting changing conditions. Extensive simulations evaluate frameworks, comparing performance, disturbance rejection, load change response, resilience uncertainties. Results demonstrate efficacy both approaches for precise stable operation. exhibits superior accuracy response time, showcasing its robustness compared recent methods systems. controllers are implemented Matlab/Simulink software, enhancing performance. research represents significant advancement engineers pursuing state-of-the-art regulation.

Language: Английский

Citations

0