Search Results - (( panel optimization methods algorithm ) OR ( panel simulation based algorithm ))
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1
Optimization of stiffened panel fatigue life by using finite element analysis
Published 2020“…The multi-objective genetic algorithm which selects the design points based on Pareto optimal design combined with the adaptive multi-objective algorithm method which uses an optimal space-filling was shown to be efficient for time limitation and budget. …”
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Thesis -
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Optimization variation for multiple heuristic approaches in solar tracking
Published 2023Subjects: “…Genetic algorithm…”
Conference paper -
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Performance analysis of PSO MPPT for photovoltaic (PV) system during irradiance changes / Kharismi Burhanudin
Published 2018“…Particle swarm optimization is soft computing methods which follow the bird swarm to track maximum power from PV panel. …”
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4
Performance analyses of various photovoltaic power plant based on local spectral irradiances in Malaysia using genetic algorithm
Published 2023“…The solar sites will be evaluated based on their annual average solar irradiation and the optimal tilt angle and orientation angle for solar panel at the solar sites can be estimated using the computational model. …”
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Final Year Project / Dissertation / Thesis -
5
Robust estimation methods for fixed effect panel data model having block-concentrated outliers
Published 2019“…Two robust Within Group estimators known as Robust Within Group MM (RWMM) and Robust Within Group GM (RWGM) are also proposed to be simulated under the MM-centering. Results of simulation study and real data identify RWMM and RWGM to provide more resistant and efficient estimates under MM-centering compare to the existing estimation based on median centering. …”
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6
Optimization of a reliable grid-connected PV-based power plant
Published 2023“…Maximum power point tracking (MPPT) has been used in this project in optimizing the PV system. One of the methods of the MPPT technique which is Perturb and Observe (P&O) algorithm, easy to implement and has efficient performance in solving the optimization problem. …”
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Proceeding Paper -
7
Investigating the Performance of Deep Reinforcement Learning-Based MPPT Algorithm under Partial Shading Condition
Published 2024“…In this study, MATLAB models of a DRL-based MPPT algorithm were developed, tested, and compared to simulation based on two established MPPT algorithms-the Particle Swarm Optimization (PSO), and the Perturb and Observe (P&O). …”
Conference Paper -
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PARTICLE SWARM OPTIMIZATION MAXIMUM POWER POINT TRACKING FOR PARTIALLY SHADED SOLAR PV
Published 2023“…The energy conversion system and PSO algorithm were simulated in MATLAB/Simulink. The simulation results demonstrate the viability of the developed PSO method because the PSO-based MPPT controller can maximize power from the solar panel under a solar irradiation variation. …”
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Final Year Project Report / IMRAD -
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Design a photovoltaic system based on maximum power point tracking under partial shading
Published 2019“…The Particle Swarm Optimization (PSO) algorithm based MPPT has been implemented to track maximum power partial shading condition. …”
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Thesis -
11
Optimum calculation of tilt angles and components of standalone photovoltaic system to harvest solar energy
Published 2018“…For simulation purpose, 22-year monthly average horizontal and diffused solar radiation and ground albedo data were obtained from NASA, and MATLAB software was utilized to optimize the tilt angle by maximizing the solar radiation on the PV panel. …”
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12
Fault-tolerant power extraction strategy for photovoltaic energy systems
Published 2018“…The objective of this study is to propose a fault-tolerant control (FTC) strategy to detect the presence of abnormal operating conditions and reconfigure the MPPT procedure to search for the new suboptimal operating point. The FDI method is based on monitoring the PV panel generated power for the presence of abrupt changes; the MPPT reconfiguration is based on a combination between Incremental Conductance (IncCond) Algorithm and an Improved Current-based Particle Swarm Optimization (ICPSO) tracking technique. …”
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Adapting perturbation voltage in PV array with power point tracking and differential evolution
Published 2019“…Besides that, explore the conventional method which is Perturb and Observe (P&O) based MPPT controller in optimizing the efficiency of the PV array. …”
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Proceedings -
15
Mathematical modeling of optical and thermal behaviour of a new cascade nanofluid-based PV/T system / Samir Hassani
Published 2017“…The proposed PV/T system was simulated for both GaAs and Si-based PV cells at various solar concentration ratios, and its electrical and thermal performance were determined numerically using advanced modeling and simulation approaches. …”
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Thesis -
16
Investigation of maximum power point tracking (MPPT) for active cooling mono-crystalline photovoltaic panel using fuzzy logic controller
Published 2017“…This system is develop in both simulation and experimental. A model of PV panel is designed based PV mathematical modelling by using single cell diode model. …”
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Thesis -
17
Hybrid MPPT algorithm for mismatch photovoltaic panel application / Muhammad Iqbal Mohd Zakki
Published 2019“…MATLAB/Simulink is used to develop, test, optimize, and verify the proposed hybrid MPPT algorithm, and PSO-PID tuning method, before embedded in the MPPT system for the hardware implementation as a research product. …”
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Thesis -
18
Evaluation of genetic algorithm based solar tracking system for photovoltaic panels
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Conference or Workshop Item -
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Optimisation of tilt angles for fixed PV Panel via computational algorithm
Published 2022“…The investigation was performed based on simulation using MATLAB® (R2021a), and the Weather Data files were all obtained from JRC Photovoltaic Geographical Information System (PVGIS). …”
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Final Year Project / Dissertation / Thesis -
20
Analysis and evaluation of various aspects of solar radiation in the Palestinian territories
Published 2023“…It was also found that changing the tilt angle of the PV panels quarterly (optimized on seasonally basis) increases energy yield by 3.4% when compared with fixing this tilt angle at yearly optimized value. …”
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