Modeling and estimation of the maximum power of solar arrays under partial shading conditions

Conference paper (2020)

Authors

Naser Souri University of Tehran
Shahrokh Farhangi University of Tehran
Hossein Iman-Eini University of Tehran
H. Ziar Photovoltaic Materials and Devices - EEMCS
Research Group
Photovoltaic Materials and Devices (EEMCS) (TU Delft)
Modeling Photovoltaic Partial shading Array mismatch Power estimation
More Info
expand_more

Published Date

01-02-2020

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Electrical Sustainable Energy

Research Group

Photovoltaic Materials and Devices

Abstract

Prediction of output power has become important with the expansion of photovoltaic systems in recent years. Power prediction can be used for economic analysis, loss calculation and optimal designs. In this paper, a new approach for estimating the maximum output power of a photovoltaic power plant is proposed using the meteorological data under cloudy conditions. Basic concepts for understanding the behavior of modules in partial shading condition (PSC) are presented. To find the global maximum power point (GMPP), the shading index is introduced which can be used to find the maximum power point using the climate data. Then, analytical approach has been employed to find voltage and current of arrays at GMPP for both series and series-parallel configurations. The analytical approach is verified using MATLAB-SIMULINK software. Various experimental tests are made to confirm the aforementioned method validity.

Files

09088407.pdf
(.pdf | 0.591 Mb)