JOURNAL ARTICLE

Solar cell parameters extraction using particle swarm optimization algorithm

Abstract

This paper presents an application of particle swarm optimization (PSO) technique for extracting the parameters of single diode solar cell model. The proposed technique is used to estimate five different model parameters; namely, generated photocurrent, saturation current, series resistance, shunt resistance and ideality factor that govern the current-voltage relationship of a solar cell. A measurement data of 57 mm diameter commercial (R.T.C. France) silicon solar cell is used to test and verify the consistency of accurately estimating various parameters. The effectiveness of the proposed method is compared with the results found by the other parameter estimation techniques.

Keywords:
Particle swarm optimization Saturation current Equivalent series resistance Solar cell Silicon solar cell Voltage Algorithm Estimation theory Photovoltaic system Saturation (graph theory) Computer science Materials science Electronic engineering Mathematics Engineering Optoelectronics Electrical engineering

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40
Cited By
0.86
FWCI (Field Weighted Citation Impact)
20
Refs
0.75
Citation Normalized Percentile
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Citation History

Topics

Photovoltaic System Optimization Techniques
Physical Sciences →  Energy →  Renewable Energy, Sustainability and the Environment
Silicon and Solar Cell Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Solar Thermal and Photovoltaic Systems
Physical Sciences →  Energy →  Renewable Energy, Sustainability and the Environment
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