EconPapers    
Economics at your fingertips  
 

Seven indicators variations for multiple PV array configurations under partial shading and faulty PV conditions

Mahmoud Dhimish, Violeta Holmes, Bruce Mehrdadi, Mark Dales, Benjamin Chong and Li Zhang

Renewable Energy, 2017, vol. 113, issue C, 438-460

Abstract: The goal of this paper is to model, compare and analyze the performance of multiple photovoltaic (PV) array configurations under various partial shading and faulty PV conditions. For this purpose, a multiple PV array configurations including series (S), parallel (P), series-parallel (SP), total-cross-tied (TCT) and bridge-linked (BL) are carried out under several partial shading conditions such as, increase or decrease in the partial shading on a row of PV modules and increase or decrease in the partial shading on a column of PV modules. Additionally, in order to test the performance of each PV configuration under faulty PV conditions, from 1 to 6 Faulty PV modules have been disconnected in each PV array configuration. Several indicators such as short circuit current (Isc), current at maximum power point (Impp), open circuit voltage (Voc), voltage at maximum power point (Vmpp), series resistance (Rs), fill factor (FF) and thermal voltage (Vte) have been used to compare the obtained results from each partial shading and PV faulty condition applied to the PV system. MATLAB/Simulink software is used to perform the simulation and the analysis for each examined PV array configuration.

Keywords: Multiple PV array configurations; Partial shading; Fault detection; MATLAB/Simulink (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148117305153
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:renene:v:113:y:2017:i:c:p:438-460

DOI: 10.1016/j.renene.2017.06.014

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

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

 
Page updated 2025-03-19
Handle: RePEc:eee:renene:v:113:y:2017:i:c:p:438-460