Title :
Parameter determination of Photovoltaic Cells from field testing data using particle swarm optimization
Author :
Qin, Hengsi ; Kimball, Jonathan W.
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
Abstract :
This paper presents a swarm intelligence approach to extract equivalent circuit parameters of Photovoltaic (PV) Cells. The circuit model of a PV cell is non-linear and transcendental, which makes it difficult to solve using conventional numerical methods. Particle swarm optimization (PSO) was applied to extract the solar cell parameters. It has been confirmed that the proposed approach can obtain good parameter precision under the variations of solar insolation and environmental temperature.
Keywords :
particle swarm optimisation; photovoltaic cells; power system parameter estimation; solar cells; PV cell; environmental temperature; field testing data; particle swarm optimization; photovoltaic cells; solar insolation; solar parameter estimation; Arrays; Computational modeling; Equivalent circuits; Integrated circuit modeling; Particle swarm optimization; Photovoltaic cells; Resistance; Parameters Extraction; Particle Swarm Optimization; Photovoltaic Cells;
Conference_Titel :
Power and Energy Conference at Illinois (PECI), 2011 IEEE
Conference_Location :
Champaign, IL
Print_ISBN :
978-1-4244-8051-7
Electronic_ISBN :
978-1-4244-8050-0
DOI :
10.1109/PECI.2011.5740496
