Variable Parameters for a Single Exponential Model of Photovoltaic Modules in Crystalline-Silicon

Ali F. Murtaza, Umer Munir, Marcello Chiaberge, Paolo Di Leo and Filippo Spertino
Additional contact information
Ali F. Murtaza: Faculty of Engineering, University of Central Punjab, Lahore 54590, Pakistan
Umer Munir: Faculty of Engineering, University of Central Punjab, Lahore 54590, Pakistan
Marcello Chiaberge: Department of Electronics and Telecommunication, Politecnico di Torino, 10129 Torino, Italy
Paolo Di Leo: Department of Energy, Politecnico di Torino, 10129 Torino, Italy
Filippo Spertino: Department of Energy, Politecnico di Torino, 10129 Torino, Italy

Energies, 2018, vol. 11, issue 8, 1-14

Abstract: The correct approximation of parallel resistance ( R p ) and series resistance ( R s ) poses a major challenge for the single diode model of the photovoltaic module (PV). The bottleneck behind the limited accuracy of the model is the static estimation of resistive parameters. This means that R p and R s , once estimated, usually remain constant for the entire operating range of the same weather condition, as well as for other conditions. Another contributing factor is the availability of only standard test condition (STC) data in the manufacturer’s datasheet. This paper proposes a single-diode model with dynamic relations of R p and R s . The relations not only vary the resistive parameters for constant/distinct weather conditions but also provide a non-iterative solution. Initially, appropriate software is used to extract the data of current-voltage (I-V) curves from the manufacturer’s datasheet. By using these raw data and simple statistical concepts, the relations for R p and R s are designed. Finally, it is proved through root mean square error (RMSE) analysis that the proposed model holds a one-tenth advantage over numerous recently proposed models. Simultaneously, it is low complex, iteration-free (0 to voltage in maximum power point V mpp range), and requires less computation time to trace the I-V curve.

Keywords: modeling of photovoltaic (PV) module; I-V curve tracer; PV simulator; maximum power point (MPP); R p and R s estimations (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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