Probabilistic Modeling of Partial Shading of Photovoltaic Arrays

Joint Authors

Wang, Yaw-Juen
Sheu, Ruey-Long

Source

International Journal of Photoenergy

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-12-07

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Chemistry

Abstract EN

The probabilistic modeling technique is used in this paper to ascertain the performance of energy conversion of a photovoltaic (PV) array under the influence of partial shading.

Three cases of increasing complexity are studied in this paper.

The first case is to find the probability density function (pdf) of the maximum power output (MPO) of a single PV module exposed to a random level of solar irradiance.

Given that the probability distribution of solar irradiance is known a priori, the pdf of the MPO of the PV module is derived analytically.

A Monte Carlo simulation is then conducted to validate the analysis.

This is followed in the second case by studying the MPO of an array composed of two series PV modules, each exposed to a random and independent level of irradiance.

The third case further involves the effects of bypass diodes which are commonly installed to reduce partial shading losses.

American Psychological Association (APA)

Wang, Yaw-Juen& Sheu, Ruey-Long. 2015. Probabilistic Modeling of Partial Shading of Photovoltaic Arrays. International Journal of Photoenergy،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1066629

Modern Language Association (MLA)

Wang, Yaw-Juen& Sheu, Ruey-Long. Probabilistic Modeling of Partial Shading of Photovoltaic Arrays. International Journal of Photoenergy No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1066629

American Medical Association (AMA)

Wang, Yaw-Juen& Sheu, Ruey-Long. Probabilistic Modeling of Partial Shading of Photovoltaic Arrays. International Journal of Photoenergy. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1066629

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1066629