An analytical approach to study partial shading effects on PV array supported by literature

R. Ahmad, Ali F. Murtaza, Hadeed Ahmed Sher, Umar Tabrez Shami and Saheed Olalekan

Renewable and Sustainable Energy Reviews, 2017, vol. 74, issue C, 721-732

Abstract: This paper presents the effects of partial shading on PV arrays. The characteristics of PV array under various shading patterns are modeled in the form of current-voltage graphs. The analysis of these graphs leads to several critical observations, which are summarized in five statements. Based on these statements, two hypotheses are presented: 1) irrespective of any partial shading pattern, maximum number of local maxima in a PV array is equal to the number of series connected modules in a string, 2) number of local maxima in a PV array is equal to the quantity of open circuit voltage values (excluding last value) around which bypass diodes of the shaded modules become forward biased plus 1. Finally, both hypotheses are verified with the help of simulation results. Other than that, our findings provide exact information about the shaded PV module in an entire PV system. This study strengthens not only the theoretical knowledge of shading phenomena but also helps exploring the partial shading effects on PV array without any aid of software, advanced techniques or practical systems.

Keywords: Partial shading effects; Photovoltaic (PV) systems; By-pass diode; Local Maxima (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1364032117303088
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:rensus:v:74:y:2017:i:c:p:721-732

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/bibliographic
http://www.elsevier. ... 600126/bibliographic

DOI: 10.1016/j.rser.2017.02.078

Access Statistics for this article

Renewable and Sustainable Energy Reviews is currently edited by L. Kazmerski

More articles in Renewable and Sustainable Energy Reviews from Elsevier
Bibliographic data for series maintained by Catherine Liu ().