Parallel fault detection algorithm for grid-connected photovoltaic plants

Mahmoud Dhimish, Violeta Holmes and Mark Dales

Renewable Energy, 2017, vol. 113, issue C, 94-111

Abstract: In this work, we present a new algorithm for detecting faults in grid-connected photovoltaic (GCPV) plant. There are few instances of statistical tools being deployed in the analysis of PV measured data. The main focus of this paper is, therefore, to outline a parallel fault detection algorithm that can diagnose faults on the DC-side and AC-side of the examined GCPV system based on the t-test statistical analysis method. For a given set of operational conditions, solar irradiance and module's temperature, a number of attributes such as voltage and power ratio of the PV strings are measured using virtual instrumentation (VI) LabVIEW software.

Keywords: Photovoltaic system; Photovoltaic faults; Fault detection; LabVIEW (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:113:y:2017:i:c:p:94-111

DOI: 10.1016/j.renene.2017.05.084

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