Estimating the pile-bearing capacity utilizing a reliable machine-learning approach DOI
Juan Hu, Chunming Xia,

Jia‐Hong Wu

и другие.

Multiscale and Multidisciplinary Modeling Experiments and Design, Год журнала: 2025, Номер 8(4)

Опубликована: Март 6, 2025

Язык: Английский

Weighted mean of vectors optimization algorithm and its application in designing the power system stabilizer DOI
Václav Snåšel, Rizk M. Rizk‐Allah, Davut İzci

и другие.

Applied Soft Computing, Год журнала: 2023, Номер 136, С. 110085 - 110085

Опубликована: Фев. 4, 2023

Язык: Английский

Процитировано

47

Comparative analysis of the hybrid gazelle‐Nelder–Mead algorithm for parameter extraction and optimization of solar photovoltaic systems DOI Creative Commons
Serdar Ekinci, Davut İzci, Abdelazim G. Hussien

и другие.

IET Renewable Power Generation, Год журнала: 2024, Номер 18(6), С. 959 - 978

Опубликована: Фев. 20, 2024

Abstract The pressing need for sustainable energy solutions has driven significant research in optimizing solar photovoltaic (PV) systems which is crucial maximizing conversion efficiency. Here, a novel hybrid gazelle‐Nelder–Mead (GOANM) algorithm proposed and evaluated. GOANM synergistically integrates the gazelle optimization (GOA) with Nelder–Mead (NM) algorithm, offering an efficient powerful approach parameter extraction PV models. This investigation involves thorough assessment of algorithm's performance across diverse benchmark functions, including unimodal, multimodal, fixed‐dimensional CEC2020 functions. Notably, consistently outperforms other approaches, demonstrating enhanced convergence speed, accuracy, reliability. Furthermore, application extended to single diode double models RTC France cell model Photowatt‐PWP201 module. experimental results demonstrate that approaches terms accurate estimation, low root mean square values, fast convergence, alignment data. These emphasize its role achieving superior efficiency renewable systems.

Язык: Английский

Процитировано

24

A Critical Review on DC Microgrids Voltage Control and Power Management DOI Creative Commons
Fahad Saleh Al–Ismail

IEEE Access, Год журнала: 2024, Номер 12, С. 30345 - 30361

Опубликована: Янв. 1, 2024

Direct current (DC) microgrids are becoming increasingly important due to a number of causes, including the widespread use DC loads, integration solar photovoltaic (PV) and energy storage devices (ESDs), absence frequency reactive power control issues. The bus voltage, management, effective split among ESDs, state charge (SoC) restorations in microgrid. However, voltage management difficult since connect several distributed generators (DGs), utility grids, ESDs using electronic converters. It is imperative properly manage sources loads order maintain stability reliability microgrids. can be controlled by employing centralized, decentralized, distributed, multi-level, hierarchical systems ensure safe secure operation. Besides, advanced techniques, such as nonlinear, robust, model predictive, artificial intelligence, many others, employed. This article critically reviews two main aspects microgrids: management. challenges opportunities for discussed. benefits drawbacks various methods have been thoroughly documented, making this great resource industry professionals academics alike. Technical issues related grid-connected islanded Key research gaps identified, which could filled cutting-edge technologies. Readers will benefit from review learning about need further research.

Язык: Английский

Процитировано

20

Performance analysis of hybrid optimization approach for UAV path planning control using FOPID-TID controller and HAOAROA algorithm DOI Creative Commons
Noorulden Basil,

Abdullah Fadhil Mohammed,

Bayan Mahdi Sabbar

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 9, 2025

In this study, we present a comparative analysis of various trajectory optimization algorithms for Unmanned Aerial Vehicles (UAVs) navigating complex environments. The performance the proposed FOPID-TID based HAOAROA (Hybrid Archimedes Optimization Algorithm-Rider Algorithm) is evaluated against traditional methods such as A*, JPS, Bezier, and L-BSGF algorithms. approach integrates advantages fractional-order control with hybrid techniques to improve UAV planning. Simulation results indicate that method carries significantly better than respect length, smoothness, overall stability. Remarkably, yields 10% reduced length smoother while also being more computationally efficient. By using parameters, dynamic response becomes in challenging This shows disturbance rejection precision are much superior original two subroutines. applications presented study allow future growth system improvements provide proof concept improving UAVs dynamic,

Язык: Английский

Процитировано

3

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

Priscilla Oyeladun Ajiboye,

Francis Boafo Effah

и другие.

Scientific African, Год журнала: 2025, Номер unknown, С. e02562 - e02562

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

2

Effective PID controller design using a novel hybrid algorithm for high order systems DOI Creative Commons
Davut İzci, Serdar Ekinci, Abdelazim G. Hussien

и другие.

PLoS ONE, Год журнала: 2023, Номер 18(5), С. e0286060 - e0286060

Опубликована: Май 26, 2023

This paper discusses the merging of two optimization algorithms, atom search and particle swarm optimization, to create a hybrid algorithm called (h-ASPSO). Atom is an inspired by movement atoms in nature, which employs interaction forces neighbor guide each population. On other hand, intelligence that uses population particles for optimal solution through social learning process. The proposed aims reach exploration-exploitation balance improve efficiency. efficacy h-ASPSO has been demonstrated improving time-domain performance high-order real-world engineering problems: design proportional-integral-derivative controller automatic voltage regulator doubly fed induction generator-based wind turbine systems. results show outperformed original terms convergence speed quality can provide more promising different systems without significantly increasing computational cost. promise method further using available competitive methods are utilized

Язык: Английский

Процитировано

41

An intelligent tuning scheme with a master/slave approach for efficient control of the automatic voltage regulator DOI
Davut İzci, Serdar Ekinci, Seyedali Mirjalili

и другие.

Neural Computing and Applications, Год журнала: 2023, Номер 35(26), С. 19099 - 19115

Опубликована: Июнь 18, 2023

Язык: Английский

Процитировано

32

Reptile Search Algorithm: Theory, Variants, Applications, and Performance Evaluation DOI
Buddhadev Sasmal, Abdelazim G. Hussien, Arunita Das

и другие.

Archives of Computational Methods in Engineering, Год журнала: 2023, Номер 31(1), С. 521 - 549

Опубликована: Авг. 26, 2023

Язык: Английский

Процитировано

28

A novel control scheme for automatic voltage regulator using novel modified artificial rabbits optimizer DOI Creative Commons
Davut İzci, Rizk M. Rizk‐Allah, Václav Snåšel

и другие.

e-Prime - Advances in Electrical Engineering Electronics and Energy, Год журнала: 2023, Номер 6, С. 100325 - 100325

Опубликована: Окт. 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.

Язык: Английский

Процитировано

27

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

и другие.

International Journal of Dynamics and Control, Год журнала: 2024, Номер 12(7), С. 2550 - 2565

Опубликована: Фев. 1, 2024

Язык: Английский

Процитировано

15