Multiscale and Multidisciplinary Modeling Experiments and Design, Год журнала: 2025, Номер 8(4)
Опубликована: Март 6, 2025
Язык: Английский
Multiscale and Multidisciplinary Modeling Experiments and Design, Год журнала: 2025, Номер 8(4)
Опубликована: Март 6, 2025
Язык: Английский
Applied Soft Computing, Год журнала: 2023, Номер 136, С. 110085 - 110085
Опубликована: Фев. 4, 2023
Язык: Английский
Процитировано
47IET 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
24IEEE 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
20Scientific 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
3Scientific African, Год журнала: 2025, Номер unknown, С. e02562 - e02562
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
2PLoS 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
41Neural Computing and Applications, Год журнала: 2023, Номер 35(26), С. 19099 - 19115
Опубликована: Июнь 18, 2023
Язык: Английский
Процитировано
32Archives of Computational Methods in Engineering, Год журнала: 2023, Номер 31(1), С. 521 - 549
Опубликована: Авг. 26, 2023
Язык: Английский
Процитировано
28e-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
27International Journal of Dynamics and Control, Год журнала: 2024, Номер 12(7), С. 2550 - 2565
Опубликована: Фев. 1, 2024
Язык: Английский
Процитировано
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