Application of Solar Photovoltaic Technology in the Extraction of Water for Consumption in Rural Communities in the Highlands of Puno

Yucra, Reynaldo Condori; Acero, J.; Mena, Mateo Alejandro Salinas; Pareja, Walter Oswaldo Paredes

doi:10.1109/intercon.2019.8853637

Cited by 1 publication

(2 citation statements)

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“…The decreased cost of power generating impacts the growth of PV energy production. [7][8][9] However, because PV panels are expensive and have low energy efficiency, the cost of producing PV electricity is higher than that of producing it using conventional energy sources. Therefore, it is imperative to use various semiconductor materials to increase the PV cell's conversion efficiency.…”

Section: Introductionmentioning

confidence: 99%

“…Without causing environmental degradation, solar panels' electricity may also power electronic gadgets and indoor illumination. The decreased cost of power generating impacts the growth of PV energy production 7‐9 . However, because PV panels are expensive and have low energy efficiency, the cost of producing PV electricity is higher than that of producing it using conventional energy sources.…”

Section: Introductionmentioning

confidence: 99%

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Optimal parameter characterization of an enhanced mathematical model of solar photovoltaic cell/module using an improved white shark optimization algorithm

Lakshmanan¹,

Kumar²,

Jasper

2023

Optim Control Appl Methods

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In the modeling and designing of PhotoVoltaic (PV) systems, parameter characterization in PV cell/module models remains a crucial field of research. Diode‐based models, such as single‐diode model (SDM), double‐diode model (DDM), and the three‐diode model, are frequently employed, and SDM and DDM are the most significant models. As a result, the difference between the estimated and experimental current can be minimized by using an objective function to solve the parameter characterization of such models. Metaheuristic optimization algorithms have recently been employed to get around the difficulty of finding accurate and highly reliable outcomes quickly. As a result, this research modifies the fundamental SDM and DDM and considers an objective function based on the modified models. Additionally, an improved version of a novel metaheuristic algorithm called White Shark Optimizer (WSO) is proposed by modifying the force control parameters of the WSO, and a chaotic generator is infused to improve the exploitation ability of WSO. The modified algorithm is named IWSO and applied to extract the PV parameters. This paper uses the new objective function to compare the conventional and the modified PV models. The outcomes of the experiment demonstrated IWSO's dominance over competing algorithms. With an average Freidman's ranking test value of 1.171, the proposed IWSO is superior to all selected algorithms. The average accuracy of modified SDM and DDM is 12% better than the traditional PV models. According to the findings, IWSO's estimated parameter values are the best, with the smallest difference between estimated and experimental current.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%