Journal
NEURAL COMPUTING & APPLICATIONS
Volume 26, Issue 5, Pages 1227-1239Publisher
SPRINGER LONDON LTD
DOI: 10.1007/s00521-014-1795-6
Keywords
Parameter extraction; Solar cell models; Chaotic asexual reproduction optimization (CARO); Chaotic sequence
Categories
Ask authors/readers for more resources
To simulate solar cell systems or to optimize photovoltaic (PV) system performance, the estimation of solar cell model parameters is extremely crucial. In this paper, the parameter extraction of solar cell models is formalized as a multi-dimensional optimization problem, and an objective function is established minimizing the errors between the estimated and measured data. A novel chaotic asexual reproduction optimization (CARO) using chaotic sequence for global search is applied to this parameter extraction problem. All the seven or five parameters of solar cell models are extracted simultaneously using measured input-output data. The CARO has been tested with different solar cell models, i.e., double diode, single diode, and PV module. Comparison simulation results with other parameter extraction techniques show that the CARO signifies its potential as another optional method.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available