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

Advanced Frequency Control Technique Using GTO with Balloon Effect for Microgrids with Photovoltaic Source to Lower Harmful Emissions and Protect Environment DOI Open Access
Mahmoud M. Hussein,

Mohamed Hamid,

Tarek Hassan Mohamed

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(2), P. 831 - 831

Published: Jan. 18, 2024

Renewable energy (RE) resources such as wind and PV solar power are crucial for transitioning to carbon-free sustainable systems, especially agricultural domestic applications in the desert rural areas. However, implementing RE may lead frequency penetrations, isolated microgrids (µGs). This study proposes an adaptive load control (LFC) technique systems. An integral controller can be tuned online using artificial gorilla troops optimization algorithm (GTO), which is supported a balloon effect (BE) identifier. Adaptive used system case of variable loads fluctuation due 6 MW photovoltaic (PV). Three other methods have been compared with GTO + BE technique, namely Grey Wolf Optimization method (GWO), standard (GTO) Jaya technique. Digital simulation tests approved efficiency (GTO BE) during difficulties disturbance parameter variations. In addition, same test conditions repeated real-time platform. The results digital outcomes.

Language: Английский

Citations

3

Efficient voltage regulation: An RW-ARO optimized cascaded controller approach DOI Creative Commons
Erdal Eker, Davut İzci, Serdar Ekinci

et al.

e-Prime - Advances in Electrical Engineering Electronics and Energy, Journal Year: 2024, Volume and Issue: 9, P. 100687 - 100687

Published: July 11, 2024

This work introduces novel advancements in automatic voltage regulator (AVR) control, addressing key challenges and delivering innovative contributions. The primary motivation lies enhancing AVR performance to ensure stable reliable output. A crucial innovation this is the introduction of random walk aided artificial rabbits optimizer (RW-ARO). optimization strategy incorporates a approach, efficiency control schemes. proposed cascaded RPIDD2-PI controller, fine-tuned using RW-ARO, stands out as pioneering approach domain. It demonstrates superior stability, faster response times, enhanced robustness, improved compared existing methods. Comparative analyses with established controller approaches reaffirm exceptional method. new results shorter rise quicker settling minimal overshoot, highlighting its effectiveness speed achieving desired system responses. Moreover, attains higher phase gain margins, showcasing frequency disturbance rejection harmonic analysis are performed order demonstrate efficacy for potential real-world applications. latter further cement capability regulation.

Language: Английский

Citations

3

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

8

Performance analysis of voltage profile improvement in AVR system using zebra optimization algorithms based on PID controller DOI Creative Commons

C. Pazhanimuthu,

G. Saravanan,

K.P. Suresh

et al.

e-Prime - Advances in Electrical Engineering Electronics and Energy, Journal Year: 2023, Volume and Issue: 6, P. 100380 - 100380

Published: Dec. 1, 2023

Many problems are associated with dynamic changes in the power system, mainly because number of switching loads has increased. These induce ineffective system behaviour, reduce voltage profile, and lead to improper regulation. The proposed Automatic Voltage Regulator (AVR) is intended eliminate above problem preserve at generator terminal within allowable range. In this work, Proportional-Integral-Derivative (PID) controllers applied enhance behaviour AVR system. Zebra Optimization Algorithm (ZOA) Osprey (OOA) algorithms implemented optimize system's transient response by modifying gain PID controller parameters, which include proportional, integral, derivative a stable profile. To achieve an optimal solution, mathematical model realized Internet Things (IoT). connected can operate nominal level through tuning using ZOA OOA. performance evaluated verified MATLAB R2023a. showed improvement 18.5% peak overshoot 0.01% during system-transient condition. Compared conventional optimization systems, provides faster responsiveness enhanced stability.

Language: Английский

Citations

8

Augmenting the Stability of Automatic Voltage Regulators through Sophisticated Fractional-Order Controllers DOI Creative Commons
Emad A. Mohamed, Mokhtar Aly, Waleed Alhosaini

et al.

Fractal and Fractional, Journal Year: 2024, Volume and Issue: 8(5), P. 300 - 300

Published: May 20, 2024

The transition from traditional to renewable energy sources is a critical issue in current energy-generation systems, which aims address climate change and the increased demand for energy. This shift, however, imposes additional burdens on control systems maintain power system stability quality within predefined limits. Addressing these challenges, this paper proposes an innovative Modified Hybrid Fractional-Order (MHFO) automatic voltage regulator (AVR) equipped with fractional-order tilt integral proportional derivative filter plus second-order FOTI-PDND2N2 controller. advanced controller combines benefits of (FOTI) controller, known enhancing dynamic performance steady-state response, (PDND2N2) improve robustness adaptability. proposed MHFO stands out its nine tunable parameters, providing more extensive options than conventional three-parameter PID five-parameter FOPID Furthermore, recent optimization approach using growth optimizer (GO) has been formulated applied optimally adjust controller’s parameters simultaneously. AVR based MHFO-GO scrutinized by contrasting it various established developed algorithms. comparative study shows that surpasses other controllers stability, robustness, response speed points view.

Language: Английский

Citations

2

Determination of Different Types of Controller Parameters Using Metaheuristic Optimization Algorithms for Buck Converter Systems DOI Creative Commons
Evren İşen

IEEE Access, Journal Year: 2022, Volume and Issue: 10, P. 127984 - 127995

Published: Jan. 1, 2022

The steady-state operation with low error and the fast dynamic response in transient of DC-DC converter circuits depend on controller design. performance used converters, which vary level DC voltage depends coefficients. Although classical methods are often to determine these coefficients design, various modern optimization have been recently used. In this study, buck control simulation is performed FOPID, PID TID controllers. Aquila Optimizer, African Vultures Optimization Algorithm Hunger Games Search algorithms controllers literature. However, Fitness-Distance Balance Based Runge Kutta employed first time for study. indices integral absolute error, square squared assess outcomes. When results obtained examined, FOPID gives best converter. These by using determined (FDBRUN) algorithm. It has better than other algorithms.

Language: Английский

Citations

8

Optimization of PI-Cascaded Controller’s Parameters for Linear Servo Mechanism: A Comparative Study of Multiple Algorithms DOI Creative Commons

M. Abdelbar,

Huda Ramadan,

Abdelrahman Khalil

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 86377 - 86396

Published: Jan. 1, 2023

In numerous industries, especially in automation and industrial processes, the linear servo mechanism is used. However, parameters of friction backlash models are frequently unknown for servomechanism systems, resulting system uncertainty. High steady-state inaccuracy caused by friction, whereas undesired vibration blowback. an issue that still not sufficiently addressed a realistic model. To address these challenges, this research on controlled proportional-integral (PI-Cascaded) controller, which enables systems to respond more rapidly, reduce or reject disturbance, arrive at steady state quickly. Moreover, controller's crucial getting best performance from particular controller. As result, controller settings were adjusted using four different meta-heuristic optimization algorithms: Surrogate Based Optimization (SBO), Hybrid Genetic Pattern Search Algorithm (HGSPA), Particle Swarm (PSO), Simulated Annealing (SA) with objective functions: Integral Square Error (ISE), Absolute (IAE), Time (ITSE), (ITAE). Throughout system's experimental testing, 50 cm was employed as reference input. Negligible overshoot, quick rise settling times, excellent responsiveness all characteristics PSO algorithm ITSE function. assess robustness. A N force applied system, sine wave signal input into system. The shows remarkable stability resilience throughout load experimentation test.

Language: Английский

Citations

4

Optimal Design of a PIDD2 Controller for an AVR System Using Hybrid Whale Optimization Algorithm DOI Creative Commons
Fei Dai, Song Gao

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 128525 - 128540

Published: Jan. 1, 2024

Language: Английский

Citations

1

Automatic Voltage Regulator Betterment Based on a New Fuzzy FOPI+FOPD Tuned by TLBO DOI Creative Commons
Mokhtar Shouran,

Mohammed Alenezi

Fractal and Fractional, Journal Year: 2024, Volume and Issue: 9(1), P. 21 - 21

Published: Dec. 31, 2024

This paper presents a novel Fuzzy Logic Controller (FLC) framework aimed at enhancing the performance and stability of Automatic Voltage Regulators (AVRs) in power systems. The proposed system combines fuzzy control theory with Fractional Order Proportional Integral Derivative (FOPID) technique employs cascading to significantly improve reliability robustness. unique architecture, termed (PI) plus (PD) (Fuzzy FOPI+FOPD+I), integrates advanced methodologies achieve superior performance. To optimize controller parameters, Teaching–Learning-Based Optimization (TLBO) algorithm is utilized conjunction Time Absolute Error (ITAE) objective function, ensuring precise tuning for optimal behavior. methodology validated through comparative analyses controllers reported prior studies, highlighting substantial improvements metrics. Key findings demonstrate significant reductions peak overshoot, undershoot, settling time, emphasizing controller’s effectiveness. Additionally, robustness extensively evaluated under challenging scenarios, including parameter uncertainties load disturbances. Results confirm its ability maintain across wide range conditions, outperforming existing methods. study notable contribution by introducing an innovative structure that addresses critical challenges AVR systems, paving way more resilient efficient operations.

Language: Английский

Citations

1

Disturbance Rejection-Based Optimal PID Controllers for New 6ISO AVR Systems DOI Creative Commons
Muhyaddin Rawa, Sultan Alghamdi, Martin Ćalasan

et al.

Fractal and Fractional, Journal Year: 2023, Volume and Issue: 7(10), P. 765 - 765

Published: Oct. 18, 2023

In the literature, different approaches that are employed in designing automatic voltage regulators (AVRs) usually model AVR as a single-input-single-output system, where input is generator reference voltage, and output voltage. Alternately, it could be thought of double-input, single-output with excitation change serving additional input. this paper, unlike existing we designed system sextuple-input (6ISO) system. The inputs include regulator signal change, exciter amplifier sensor change. We also compared responses for various structural configurations parameter choices reported literature. effectiveness numerous controllers investigated; proportional, integral differential (PID) controller, PID second-order derivative (PIDD2) fractional order (FOPID) controller most prevalent types controllers. findings reveal significantly impact Based on these findings, propose new approach to design enhance response changes. This takes into consideration changes well signal. calculate settings using cutting-edge hybrid technique called Particle Swarm Optimization African Vultures algorithm (PSO–AVOA). proposed optimization demonstrated.

Language: Английский

Citations

3