Harness of maximum solar energy from solar PV strings using particle swarm optimisation technique

Nagadurga, T.; Narasimham, P. V. R. L.; Vakula, V. S.

doi:10.1080/01430750.2019.1611643

Cited by 12 publications

(6 citation statements)

References 17 publications

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“…The continued use of fossil fuels has resulted in a global energy crisis, environmental pollution, and climate change [1,2], thus, more sustainable energy resources are essential to combat these issues [3]. Photocatalytic technologies [4,5] for exploiting light energy have drawn particular attention [6][7][8]. Such catalysts can be used to produce hydrogen from water for energy storage and convert the excess carbon dioxide in the atmosphere to valuable chemical feedstocks and fuels, such as methane and methanol [9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Facile Fabrication of Highly Active CeO2@ZnO Nanoheterojunction Photocatalysts

Yan

Lin

et al. 2023

Nanomaterials

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Photocatalyst performance is often limited by the poor separation and rapid recombination of photoinduced charge carriers. A nanoheterojunction structure can facilitate the separation of charge carrier, increase their lifetime, and induce photocatalytic activity. In this study, CeO2@ZnO nanocomposites were produced by pyrolyzing Ce@Zn metal–organic frameworks prepared from cerium and zinc nitrate precursors. The effects of the Zn:Ce ratio on the microstructure, morphology, and optical properties of the nanocomposites were studied. In addition, the photocatalytic activity of the nanocomposites under light irradiation was assessed using rhodamine B as a model pollutant, and a mechanism for photodegradation was proposed. With the increase in the Zn:Ce ratio, the particle size decreased, and surface area increased. Furthermore, transmission electron microscopy and X-ray photoelectron spectroscopy analyses revealed the formation of a heterojunction interface, which enhanced photocarrier separation. The prepared photocatalysts show a higher photocatalytic activity than CeO2@ZnO nanocomposites previously reported in the literature. The proposed synthetic method is simple and may produce highly active photocatalysts for environmental remediation.

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Section: Introductionmentioning

confidence: 99%

Facile Fabrication of Highly Active CeO2@ZnO Nanoheterojunction Photocatalysts

Yan

Lin

et al. 2023

Nanomaterials

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“…The main source of energy is still fossil fuels that give 85-90% energy [2]. Oil is the most significant of 35%, while coal and natural gas are equally represented [3]. Almost 8% of the energy comes from nuclear power plants, and only 3.3% of energy comes from renewable sources [4].…”

Section: Introductionmentioning

confidence: 99%

Investigate the maximum power point of photovoltaic system at different environmental conditions

Khudhur

Samad²,

Hasan³

2023

IJECE

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<p style="margin: 0in 0in 0pt; text-align: justify;"><span lang="EN-US">The main objective of this work is to implement a circuit-based simulation model of a photovoltaic (PV) cell in order to investigate the electrical behavior of the practical cell with respect to some changes in weather parameters. The simulation model consists of three subsystems: photovoltaic cells, DC/DC converter and MPPT controller based logic fuzzy control. The maximum power control function is achieved with the appropriate power control of the power inverter. Fuzzy logic controller has been used to perform MPPT functions to get maximum power from the PV panel. The proposed circuit was implemented in MATLAB/Simulink. The obtained results show that the output sequence is non-linear and almost constant current to the open circuit voltage and the power has maximum motion to voltage for certain environmental conditions.</span></p>

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“…Chen et al [17], Focusing on the application of the enhanced PSO algorithm for PV MPPT, he reported that the PSO algorithm improved tracking efficiency. Nagadurga et al [18] PSO technology was utilised to track the PV system's maximum power point at various irradiance levels, and the PSO approach produces more power under shade conditions than the conventional P&O method, according to simulation data.…”

Section: Introductionmentioning

confidence: 99%

Maximum Power Point Tracking Algorithm Based on Particle Swarm Optimization to Capture Maximum Power from PV Strings

Sree¹,

Rani²,

Nagadurga³

2023

Atlantis Highlights in Intelligent Systems

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A fast-growing population, rising number of smart cities, and exponential usage of electronic gadgets have all contributed to a growing demand for electricity, possibly causing menacingly high levels of carbon emissions and atmospheric pollution in India. These energy sources do not release any greenhouse gases into the atmosphere. India as a sunshine country is an ideal place for harnessing solar energy which will help us to overcome pollution problems. Nowadays photovoltaic systems are popular due to their various advantages like sustainability, less maintenance, no complex part, possesses longer life, and many more. Solar photovoltaic systems have become the most ideal option for conventional energy sources that can develop energy sustainably. The power-voltage characteristics of a PV panel are non-linear and depend on the irradiance of sunlight and the atmosphere's temperature. The performance of a PV power plant mainly depends on various factors: the conversion efficiency of the PV system, the efficiency of the power electronics converter, and the maximum power extraction algorithm. Various tracking methods have been proposed in the literature to obtain maximum power from PV systems. Conventional methods like perturb and observe (P&O), incremental conductance method and improved perturb and observe method, etc. have advantages and disadvantages in terms of precision, speed, and power loss under changing weather conditions. In this regard, the utilization of optimization algorithms to track the MPP of PV panels under changing environmental conditions. This has motivated the present study to use the search-based Particle swarm optimization (PSO) technique for solar photovoltaic systems to extract maximum output under non-uniform weather conditions.

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Harness of maximum solar energy from solar PV strings using particle swarm optimisation technique

Cited by 12 publications

References 17 publications

Facile Fabrication of Highly Active CeO2@ZnO Nanoheterojunction Photocatalysts

Facile Fabrication of Highly Active CeO2@ZnO Nanoheterojunction Photocatalysts

Investigate the maximum power point of photovoltaic system at different environmental conditions

Maximum Power Point Tracking Algorithm Based on Particle Swarm Optimization to Capture Maximum Power from PV Strings

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