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Fault detection algorithm for multiple GCPV array configurations

Dhimish, Mahmoud, Holmes, Violeta, Dales, Mark, Mather, Peter, Sibley, Martin J.N., Chong, Benjamin and Zhnag, Li (2017) Fault detection algorithm for multiple GCPV array configurations. In: PowerTech, 2017 IEEE Manchester. IEEE. ISBN 978-1-5090-4237-1

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Abstract

In this paper, a fault detection algorithm for multiple grid-connected photovoltaic (GCPV) array configurations is introduced. For a given set of conditions such as solar irradiance and photovoltaic module temperature, a number of attributes such as power, voltage and current are calculated using a mathematical simulation model. Virtual instrumentation (VI) LabVIEW software is used to monitor the performance of the GCPV system and to simulate the theoretical I-V and P-V curves of the examined system. The fault detection algorithm is evaluated on multiple GCPV array configurations such as series, parallel and series-parallel array configuration. The fault detection algorithm has been validated using 1.98 kWp GCPV system installed at the University of Huddersfield. The results indicates that the algorithm is capable to detect multiple faults in the examined GCPV plant and can therefore be used in large GCPV installations.

Item Type: Book Chapter
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TD Environmental technology. Sanitary engineering
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Schools: School of Computing and Engineering
Related URLs:
Depositing User: Mahmoud Dhimish
Date Deposited: 03 Oct 2017 14:53
Last Modified: 04 Nov 2017 15:12
URI: http://eprints.hud.ac.uk/id/eprint/33467

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