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Experimental Analysis of Photovoltaic Modeling for Partially Shading Conditions

Authors: Hugo Soeiro Moreira; Joao Lucas de Souza Silva; Daniel de Bastos Mesquita; Bruno Henrique Kikumoto de Paula; Jorge Luiz de Carvalho; Luiz Carlos Kretly; Marcelo Gradella Villalva;

Experimental Analysis of Photovoltaic Modeling for Partially Shading Conditions

Abstract

Predicting the behavior of I-V and P-V curves for photovoltaic (PV) generation is possible through mathematical models for photovoltaic cells. However, current models are made for uniform conditions, making it difficult to analyze in case of non-uniform conditions such as partially shading conditions (PSC). At this point, the present work applied the Villalva's model in non-uniform conditions, transformed by the curve superposition technique for different scenarios, and later, reproduces the scenarios experimentally. The experimental scenarios used a photovoltaic system with certain black objects were positioned on the PV modules. In this way, it was possible to compare the transformed mathematical model for non-uniform conditions with real curves of a photovoltaic system. As results, the I-V and P-V curves generated by the model were closer to the experimental tests and the values of absolute and root mean square errors were acceptable. Thus, it has been proven experimentally that with the transformation by the curve superposition technique the photovoltaic modeling can be used for PV studies under PSC.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
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