A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Parameters extraction of single diode model for degraded photovoltaic modules
The single–diode model is widely used for the analysis of photovoltaic systems and reproducing accurately the I–V curve. Numerical or analytical methods can be employed to estimate the model parameters; among them explicit methods are well assessed providing precise results and low computational complexity, thus suitable to be developed on embedded systems. Due to their approximated nature, the accuracy of such methods may be affected by the operating conditions and by the state of health of the photovoltaic modules that have been characterised. The main contribution of this paper is to analyse a selection of explicit methods with the aim of testing their capability to detect degradation in photovoltaic modules. Since different degradation phenomena are reflected in a variation of the series resistance of the single diode equivalent circuit, the study is mainly focused on the estimation of this parameter. The comparison of different explicit methods has been done by using outdoor experimental I–V curves of a photovoltaic module operating in normal as well as degraded conditions. The analysis shows that only few methods exhibit enough reliability to estimate correctly the model parameters in presence of degradation and are less sensible to the environmental operating conditions. ; This work has been supported by MIUR funds in the frame of PRIN 2017-Holistic approach to EneRgy-efficient smart nanOGRIDS (HEROGRIDS) project (2017WA5ZT3 003 ), and by FARB funds of the University of Salerno. In addition, some resources are due to the project RTI2018–095097–B–I00 of the Ministerio de Ciencia, Innovación y Universidades, Spain
Parameters extraction of single diode model for degraded photovoltaic modules
The single–diode model is widely used for the analysis of photovoltaic systems and reproducing accurately the I–V curve. Numerical or analytical methods can be employed to estimate the model parameters; among them explicit methods are well assessed providing precise results and low computational complexity, thus suitable to be developed on embedded systems. Due to their approximated nature, the accuracy of such methods may be affected by the operating conditions and by the state of health of the photovoltaic modules that have been characterised. The main contribution of this paper is to analyse a selection of explicit methods with the aim of testing their capability to detect degradation in photovoltaic modules. Since different degradation phenomena are reflected in a variation of the series resistance of the single diode equivalent circuit, the study is mainly focused on the estimation of this parameter. The comparison of different explicit methods has been done by using outdoor experimental I–V curves of a photovoltaic module operating in normal as well as degraded conditions. The analysis shows that only few methods exhibit enough reliability to estimate correctly the model parameters in presence of degradation and are less sensible to the environmental operating conditions. ; This work has been supported by MIUR funds in the frame of PRIN 2017-Holistic approach to EneRgy-efficient smart nanOGRIDS (HEROGRIDS) project (2017WA5ZT3 003 ), and by FARB funds of the University of Salerno. In addition, some resources are due to the project RTI2018–095097–B–I00 of the Ministerio de Ciencia, Innovación y Universidades, Spain
Parameters extraction of single diode model for degraded photovoltaic modules
Piliougine, Michel (author) / Guejiía-Burbano, R.A. (author) / Petrone, Giovanni (author) / Sánchez-Pacheco, Francisco José (author) / Mora-López, Llanos (author) / Sidrach-de-Cardona-Ortin, Mariano (author)
2020-09-22
Article (Journal)
Electronic Resource
English
DDC:
624
| American Institute of Physics | 2020
Identification of photovoltaic cell single diode discrete model parameters based on datasheet values
| British Library Online Contents | 2016
Identification of photovoltaic cell single diode discrete model parameters based on datasheet values
| British Library Online Contents | 2016
Identification of the one-diode model for photovoltaic modules from datasheet values
| British Library Online Contents | 2014
Identification of photovoltaic cell single diode discrete model parameters based on datasheet values
| British Library Online Contents | 2016