Research Papers

Parameter Estimation in Modeling of Photovoltaic Panels Based on Datasheet Values

[+] Author and Article Information
Hayrettin Can

Department of Computer Engineering,
Fırat University,
Elazığ 23119, Turkey
e-mail: hcan@firat.edu.tr

Damla Ickilli

Department of Computer Engineering,
Fırat University,
Elazığ 23119, Turkey
e-mail: dickilli@firat.edu.tr

Contributed by the Solar Energy Division of ASME for publication in the Journal of Solar Energy Engineering. Manuscript received May 3, 2012; final manuscript received November 9, 2012; published online August 21, 2013. Assoc. Editor: Santiago Silvestre.

J. Sol. Energy Eng 136(2), 021002 (Aug 21, 2013) (6 pages) Paper No: SOL-12-1122; doi: 10.1115/1.4024923 History: Received May 03, 2012; Revised November 09, 2012

The increasing demand for renewable energy sources in recent years has triggered technological advancements in photovoltaic (PV) panels. Widespread use of large-scale PV units has revealed the sensitivity in PV panel modeling needed to estimate the amount of energy produced in different environmental conditions. For the formation of a PV panel model, parameters should be obtained by numerically solving characteristic equations of a transcendental nature. This study preferred using the Newton Raphson (NR) method owing to the suitability of equation structure. It is crucial that numerical solution starts with proper initial values. This study proposes a new approach to identifying initial values in order to decrease calculation time and increase the speed of numerical convergence. The proposed method was used in parameter estimation for different panel models. And, it was observed that owing to this method, the system converged with less iteration and the problem of failing to solve the system because of inappropriate initial values were eliminated. Convergence was obtained and the solution needed less iteration in all models.

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Grahic Jump Location
Fig. 1

The equivalent circuit of the photovoltaic cell

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Fig. 2

The three key-points on the I–V curve: short circuit (0,Isc), MPP (Vmpp,Impp), open circuit (Voc,0)

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Fig. 3

Identification of the suggested initial Rs value (Rso) on the I–V curve

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Fig. 4

The software flow chart to determine the parameters

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Fig. 5

Electrical characteristics of the panels given in Table 1




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