Energy Conversion Optimization Method in Nano-Grids Using Variable Supply Voltage Adjustment Strategy Based on a Novel Inverse Maximum Power Point Tracking Technique (iMPPT) DOI Creative Commons
Lucian Nicolae Pintilie, Horia Hedeșiu,

C. Rusu

et al.

Electricity, Journal Year: 2023, Volume and Issue: 4(4), P. 277 - 308

Published: Oct. 10, 2023

This paper introduces a novel power supply voltage adjustment strategy that can determine the optimum value based on amount of absorbed power. The automatic technique was called inverse maximum point tracking (iMPPT). proposed control consists modified (MPPT) algorithm (more precisely P&O method). In this case, MPPT establishes minimum input consumer load served by switched-mode (SMPS). iMPPT adjusts modifying main supply. loads are connected to variable via an interfacing electronics converter performs regulation function (AVR). optimal level be achieved when is at minimum. energy conversion efficiency ratio maximum, and overall losses related front-end stage also considered Maximum Efficiency Tracking (MET) method. By performing operation demanded switched mode (SMPS), determined (related given level) achieved. method improve from 85% up approximately 10% in case output 800 W synchronous buck 350 V. total recovered situation 100 W.

Language: Английский

Optimizing PID Control for Automatic Voltage Regulators Using ADIWACO PSO DOI Creative Commons
Yaw Opoku Mensah Sekyere,

Priscilla Oyeladun Ajiboye,

Francis Boafo Effah

et al.

Scientific African, Journal Year: 2025, Volume and Issue: unknown, P. e02562 - e02562

Published: Jan. 1, 2025

Language: Английский

Citations

2
Achieving improved stability for automatic voltage regulation with fractional-order PID plus double-derivative controller and mountain gazelle optimizer DOI
Davut İzci, Laith Abualigah, Özay Can

et al.

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
Developments on metaheuristic-based optimization for numerical and engineering optimization problems: Analysis, design, validation, and applications DOI Creative Commons
Mohamed Abdel‐Basset, Reda Mohamed, Muhammed Basheer Jasser

et al.

Alexandria Engineering Journal, Journal Year: 2023, Volume and Issue: 78, P. 175 - 212

Published: July 25, 2023

Optimization problems are prevalent in a variety of real-world applications, including medical, engineering, chemical, and others, must be precisely solved to enhance the performance these applications. Unfortunately, finding near-optimal solutions is regarded as hard challenge due their various characteristics. In new attempt solve problems, this paper presents variant artificial gorilla troops optimizer (GTO) called ranking-based GTO (RGTO). This uses two strategies known update strategy convergence acceleration improve both classical GTO's exploitation exploration capabilities. The first proposed each gorilla's local global search abilities, whereas latter intended abilities reach better quickly possible. First, recent challenging benchmark, namely CEC-2017, utilized assess RGTO's explorative exploitative After that, RGTO used three engineering optimization parameter estimation for photovoltaic (PV) models proton exchange membrane fuel cells (PEMFCs), well some design demonstrate how it performs problems. Compared several rival optimizers, algorithm provides outstanding outcomes benchmark considered.

Language: Английский

Citations

22
A self-competitive mutation strategy for Differential Evolution algorithms with applications to Proportional–Integral–Derivative controllers and Automatic Voltage Regulator systems DOI Creative Commons
Mojtaba Ghasemi, Abolfazl Rahimnejad, Milad Gil

et al.

Decision Analytics Journal, Journal Year: 2023, Volume and Issue: 7, P. 100205 - 100205

Published: March 22, 2023

The Differential Evolution (DE) algorithm is a powerful and simple optimizer for solving various optimization problems. Based on the literature, DE has shown suitable performance in exploring search spaces locating global optimums. However, it typically slow extracting problem solution. In this paper, exploration ability of augmented with competitive control parameter ω based value objective function mutating members. A new mutation strategy introduced, subtracting weaker members from superior ones. proposed algorithm, which referred to as self-competitive DE, been employed real-world Several algorithms are enhanced ω, efficiencies resulting tested. Furthermore, optimal Proportional–Integral–Derivative (PID) controller tuning an Automatic Voltage Regulator (AVR) system used investigate effectiveness Simulation results demonstrate good over several other well-known algorithms.

Language: Английский

Citations

15
Optimal design of controller for automatic voltage regulator performance enhancement: a survey DOI

Athira Sivanandhan,

Gokuraju Thriveni

Electrical Engineering, Journal Year: 2024, Volume and Issue: 106(4), P. 3705 - 3720

Published: Jan. 4, 2024

Language: Английский

Citations

6
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
An in-depth survey of the artificial gorilla troops optimizer: outcomes, variations, and applications DOI Creative Commons
Abdelazim G. Hussien, Anas Bouaouda, Abdullah Alzaqebah

et al.

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(9)

Published: Aug. 12, 2024

Abstract A recently developed algorithm inspired by natural processes, known as the Artificial Gorilla Troops Optimizer (GTO), boasts a straightforward structure, unique stabilizing features, and notably high effectiveness. Its primary objective is to efficiently find solutions for wide array of challenges, whether they involve constraints or not. The GTO takes its inspiration from behavior in world. To emulate impact gorillas at each stage search process, employs flexible weighting mechanism rooted concept. exceptional qualities, including independence derivatives, lack parameters, user-friendliness, adaptability, simplicity, have resulted rapid adoption addressing various optimization challenges. This review dedicated examination discussion foundational research that forms basis GTO. It delves into evolution this algorithm, drawing insights 112 studies highlight Additionally, it explores proposed enhancements GTO’s behavior, with specific focus on aligning geometry area real-world problems. also introduces solver, providing details about identification organization, demonstrates application scenarios. Furthermore, provides critical assessment convergence while limitation In conclusion, summarizes key findings study suggests potential avenues future advancements adaptations related

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
A Marine-Predator-Algorithm-Based Optimum FOPID Controller for Enhancing the Stability and Transient Response of Automatic Voltage Regulators DOI Creative Commons
Abdullah M. Noman,

Sulaiman Z. Almutairi,

Mokhtar Aly

et al.

Fractal and Fractional, Journal Year: 2023, Volume and Issue: 7(9), P. 690 - 690

Published: Sept. 16, 2023

An improved design optimization method for fractional-order-based proportional integral derivative (FOPID) controllers is proposed in this paper to enhance the stability and transient response of automatic voltage-regulator systems. The FOPID represents a higher degree-of-freedom controller through having five tunable parameters, compared with only three parameters integer-order PID controller. In literature, performance highly determined its parameter-determination process. Recently, optimum has found wide employment several engineering applications using metaheuristic algorithms. paper, an FOPID’s parameter AVR marine predator algorithm (MPA). MPA–FOPID verified comparing other featured newly developed comparative analysis been proven have better stability, frequency response, robustness, faster disturbance-rejection ability over studied methods paper.

Language: Английский

Citations

10
A Comparison Between PIDD2 and PIDDα Controller for the Performance Enhancement of AVR System DOI
Prasun Mishra,

Sonalika Mishra,

Biresh Kumar Dakua

et al.

Lecture notes in electrical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 335 - 350

Published: Jan. 1, 2025

Language: Английский

Citations

0