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Multi-layer photovoltaic fault detection algorithm

Dhimish, Mahmoud, Holmes, Violeta, Mehrdadi, Bruce and Dales, Mark (2017) Multi-layer photovoltaic fault detection algorithm. High Voltage. ISSN 2397-7264

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This study proposes a fault detection algorithm based on the analysis of the theoretical curves which describe the behaviour of an existing grid-connected photovoltaic (GCPV) system. For a given set of working conditions, a number of attributes such as voltage ratio (VR) and power ratio (PR) are simulated using virtual instrumentation LabVIEW software. Furthermore, a third-order polynomial function is used to generate two detection limits (high and low limits) for the VR and PR ratios. The high and low detection limits are compared with real-time long-term data measurements from a 1.1 kWp GCPV system installed at the University of Huddersfield, United Kingdom. Furthermore, samples that lie out of the detecting limits are processed by a fuzzy logic classification system which consists of two inputs (VR and PR) and one output membership function. The obtained results show that the fault detection algorithm accurately detects different faults occurring in the PV system. The maximum detection accuracy (DA) of the proposed algorithm before considering the fuzzy logic system is equal to 95.27%; however, the fault DA is increased up to a minimum value of 98.8% after considering the fuzzy logic system.

Item Type: Article
Uncontrolled Keywords: Virtual instrumentation; Photovoltaic power systems; Power system simulation; Fuzzy logic; Fault diagnosis; Power generation faults; Polynomials
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 10:39
Last Modified: 27 Mar 2018 09:31


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