Photovoltaic fault detection algorithm based on theoretical curves modelling and fuzzy classification system

Mahmoud Dhimish, Violeta Holmes, Bruce Mehrdadi, Mark Dales and Peter Mather

Energy, 2017, vol. 140, issue P1, 276-290

Abstract: This work proposes a fault detection algorithm based on the analysis of the theoretical curves which describe the behavior of an existing PV system. For a given set of working conditions, solar irradiance and PV modules' temperature, a number of attributes such as voltage ratio (VR) and power ratio (PR) are simulated using virtual instrumentation (VI) LabVIEW software. Furthermore, a third order polynomial function is used to generate two detection limits for the VR and PR ratios obtained using VI LabVIEW simulation tool.

Keywords: Photovoltaic faults; Fault detection; Fuzzy logic; PV hot spot detection; LabVIEW (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:140:y:2017:i:p1:p:276-290

DOI: 10.1016/j.energy.2017.08.102

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