| Issue |
E3S Web Conf.
Volume 170, 2020
6th International Conference on Energy and City of the Future (EVF’2019)
|
|
|---|---|---|
| Article Number | 01023 | |
| Number of page(s) | 7 | |
| Section | Energy and Management | |
| DOI | https://doi.org/10.1051/e3sconf/202017001023 | |
| Published online | 28 May 2020 | |
Solar photovoltaic module performance characterisation using single diode modeling
Symbiosis Institute of Technology, Symbiosis International (Deemed University), Lavale, Pune, 412115 Maharashtra ( India).
* Corresponding author: javed.sayyad@sitpune.edu.in
Single or double diode electrical modeling of SPV module gives valuable results which will help to identify the exact behavior of SPV module under the normal operating condition. Accurate modelling of SPV module will also help to calculate internal resistances (Rs, Rsh) and parasitic of the SPV module. The main contribution of this work is the stepwise simplification of the current equation of single and double diode electrical model of SPV module. Then the single diode model of SPV module having 36 SPV cells in series is simulated in LTspice simulator. Simulated results are compared with labelled electrical parameters which shows close proximity to the labelled parameter at particular values of series and shunt resistance. This paper also presents the effect of variation in series resistance (Rs) and shunt resistance (Rsh) on the performance of the SPV module under normal operating condition. The dependency of SPV electrical parameters (Imax, Vmax, Pmax, FF, η) with the variation of series resistance (Rs) and shunt resistance (Rsh) is simulated, and the effects are discussed in details.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.