Solar cell parameter extraction using genetic algorithms
- 9 October 2001
- journal article
- Published by IOP Publishing in Measurement Science and Technology
- Vol. 12 (11), 1922-1925
- https://doi.org/10.1088/0957-0233/12/11/322
Abstract
In this paper, a technique based on genetic algorithms is proposed for improving the accuracy of solar cell parameters extracted using conventional techniques. The approach is based on formulating the parameter extraction as a search and optimization problem. Current-voltage data used were generated by simulating a two-diode solar cell model of specified parameters. The genetic algorithm search range that simulates the error in the extracted parameters was varied from ±5 to ±100% of the specified parameter values. Results obtained show that for a simulated error of ±5% in the solar cell model values, the deviation of the extracted parameters varied from 0.1 to 1% of the specified values. Even with a simulated error of as high as ±100%, the resulting deviation only varied from 2 to 36%. The performance of this technique is also shown to surpass the quasi-Newton method, a calculus-based search and optimization algorithm.Keywords
This publication has 12 references indexed in Scilit:
- A simpler method for extracting solar cell parameters using the conductance methodSolid-State Electronics, 1999
- The influence of the measurement environment on the accuracy of the extraction of the physical parameters of solar cellsMeasurement Science and Technology, 1999
- Simple parameter extraction method for non-ideal Schottky barrier diodesElectronics Letters, 1998
- Analysis of nonideal Schottky and p-n junction diodes—Extraction of parameters from I–V plotsJournal of Applied Physics, 1995
- Schottky diodes with high series resistance: Limitations of forward I-V methodsJournal of Applied Physics, 1994
- Determination of the dark and illuminated characteristic parameters of a solar cell from I-V characteristicsEuropean Journal of Physics, 1992
- Schottky barrier and pn-junctionI/V plots ? Small signal evaluationApplied Physics A, 1988
- A review of curve fitting error criteria for solar cell I–V characteristicsSolar Cells, 1986
- Determination of the two-exponential solar cell equation parameters from empirical dataSolar Cells, 1982
- Investigation of the double exponential in the current—Voltage characteristics of silicon solar cellsIEEE Transactions on Electron Devices, 1977