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

Frontiers in Energy Research, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 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.

Language: 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, Journal Year: 2025, Volume and Issue: unknown, P. 103915 - 103915

Published: Jan. 1, 2025

Language: 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, Journal Year: 2025, Volume and Issue: unknown, P. 104268 - 104268

Published: Feb. 1, 2025

Language: Английский

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

Processes, Journal Year: 2025, Volume and Issue: 13(3), P. 740 - 740

Published: March 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.

Language: 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, Journal Year: 2025, Volume and Issue: unknown, P. 100967 - 100967

Published: March 1, 2025

Language: Английский

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

Energies, Journal Year: 2025, Volume and Issue: 18(7), P. 1570 - 1570

Published: March 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.

Language: Английский

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

Sustainable Energy Technologies and Assessments, Journal Year: 2025, Volume and Issue: 76, P. 104298 - 104298

Published: April 1, 2025

Language: Английский

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

Solar Energy, Journal Year: 2025, Volume and Issue: 294, P. 113511 - 113511

Published: April 15, 2025

Language: Английский

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