Hybrid MPPT control using hybrid pelican optimization algorithm with perturb and observe for PV connected grid

Frontiers in Energy Research, Год журнала: 2025, Номер 12

Опубликована: Янв. 3, 2025

Introduction Photovoltaic systems offer immense potential as a future energy source, yet maximizing their efficiency presents challenges, notably in achieving optimal voltage due to nonlinear behavior. Operating current and fluctuations, driven by temperature radiation changes, significantly impact power output. Traditional Maximum Power Point Tracking (MPPT) methods struggle adapt accurately these dynamic environmental conditions. While Artificial Intelligence (AI) optimization techniques show promise, implementation complexity longer attainment times for (MPP) hinder widespread adoption. Method This paper proposes hybrid MPPT technique that integrates the Pelican Optimization algorithm (POA) with Perturb Observe (P&O) grid-connected photovoltaic system (PV). The proposed consists of two loops: PO reference point setting loop (inner loop) POA fine-tuning (outer)loop. combination inner outer loops minimizes oscillations adjusting perturbation direction enhancing convergence speed MPPT. Results Discussion To validate efficacy different conditions, comprehensive comparison is conducted between pelican perturb observe (HPPO) other algorithms. has optimized PV grid outputs an 99%, best tracking speed, total harmonic distortion (THD) all conditions below 5% agree IEEE 519 standards.

Язык: Английский

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Techno-economic and environmental assessment of grid and solar photovoltaic microgrid supply options for isolated off-grid rural communities towards sustainable and affordable electricity in Nkoranza South, Bono East, Ghana

Results in Engineering, Год журнала: 2025, Номер unknown, С. 103915 - 103915

Опубликована: Янв. 1, 2025

Язык: Английский

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Accurate parameters extraction of photovoltaic models using Lambert W-function collaborated with AI-based Puma optimization method

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104268 - 104268

Опубликована: Фев. 1, 2025

Язык: Английский

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Assessment and Optimization of Residential Microgrid Reliability Using Genetic and Ant Colony Algorithms

Processes, Год журнала: 2025, Номер 13(3), С. 740 - 740

Опубликована: Март 4, 2025

The variability of renewable energy sources, storage limitations, and fluctuations in residential demand affect the reliability sustainable systems, resulting deficits risk service interruptions. Given this situation, objective study is to diagnose optimize a microgrid based on photovoltaic wind power generation battery systems (BESSs). To end, genetic algorithms (GAs) ant colony optimization (ACO) are used evaluate performance system using metrics such as loss load probability (LOLP), supply (LPSP), availability. test consists 3.25 kW (PV) system, 1 turbine, 3 kWh battery. evaluation performed Python-based simulations with real consumption, solar irradiation, speed data assess under different strategies. initial diagnosis shows limitations an availability 77% high values LOLP (22.7%) LPSP (26.6%). Optimization metaheuristic significantly improves these indicators, reducing 11% 16.4%, increasing 89%. Furthermore, achieves better balance between especially periods low demand, ACO manages distribute more efficiently. In conclusion, use metaheuristics effective strategy for improving efficiency autonomous microgrids, optimizing operating costs.

Язык: Английский

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Renewable energies in Morocco: A comprehensive review and analysis of current status, policy framework, and prospective potential

Energy Conversion and Management X, Год журнала: 2025, Номер unknown, С. 100967 - 100967

Опубликована: Март 1, 2025

Язык: Английский

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Photovoltaic Power System with Electrochemical and Hydrogen Storage for Energy Independence in Student Dormitories

Energies, Год журнала: 2025, Номер 18(7), С. 1570 - 1570

Опубликована: Март 21, 2025

This article analyzes the path towards achieving electric energy independence for dormitories. It examines electricity consumption in dormitories to determine necessary volume daily electrochemical storage systems, seasonal hydrogen system capacity, and photovoltaic (PV) power. Electricity data from between 2021 2024 were analyzed, showing hourly, daily, monthly trends. The study developed a mathematical model of hourly usage production Matlab/Simulink optimize system, increase self-consumption potential, enhance surplus storage. enabled selection capacities storage, along with PV power meet dormitory needs, particularly autumn winter. software accommodates profiles characteristics, allowing estimation after by inhabitants offers comprehensive framework sustainable management student housing.

Язык: Английский

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Empowering the steel industry with solar: Sustainable energy for a greener future

Sustainable Energy Technologies and Assessments, Год журнала: 2025, Номер 76, С. 104298 - 104298

Опубликована: Апрель 1, 2025

Язык: Английский

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Verification of the effectiveness of transparent photovoltaics according to the transmittance level in Seoul, South Korea

Solar Energy, Год журнала: 2025, Номер 294, С. 113511 - 113511

Опубликована: Апрель 15, 2025

Язык: Английский

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