Detecting Defective Bypass Diodes in Photovoltaic Modules using Mamdani Fuzzy Logic System

Mahmoud Dhimish, Violeta Holmes, Behrooz Mehrdadi, Mark Dales, Peter Mather

Research output: Contribution to journalArticle

Abstract

In this paper, the development of fault detection method for PV modules defective bypass diodes is presented. Bypass diodes are nowadays used in PV modules in order to enhance the output power production during partial shading conditions. However, there is lack of scientific research which demonstrates the detection of defective bypass diodes in PV systems. Thus, this paper propose a PV bypass diode fault detection classification based on Mamdani fuzzy logic system, which depends on the analysis of Vdrop, Voc , and Isc obtained from the I-V curve of the examined PV module. The fuzzy logic system depends on three inputs, namely percentage of voltage drop (PVD), percentage of open circuit voltage (POCV), and the percentage of short circuit current (PSCC). The proposed fuzzy system can detect up to 13 different faults associated with defective and non-defective bypass diodes. In addition, the proposed system was evaluated using two different PV modules under various defective bypass conditions. Finally, in order to investigate the variations of the PV module temperature during defective bypass diodes and partial shading conditions, i5 FLIR thermal camera was used.
LanguageEnglish
Pages33-44
Number of pages12
JournalGlobal Journal of Researches in Engineering: F Electrical and Electronics Engineering
Volume17
Issue number5
Publication statusPublished - 1 Oct 2017

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Fuzzy logic
Diodes
Fault detection
Open circuit voltage
Fuzzy systems
Short circuit currents
Cameras
Temperature

Cite this

@article{77197db40c224704b36469c5578c7389,
title = "Detecting Defective Bypass Diodes in Photovoltaic Modules using Mamdani Fuzzy Logic System",
abstract = "In this paper, the development of fault detection method for PV modules defective bypass diodes is presented. Bypass diodes are nowadays used in PV modules in order to enhance the output power production during partial shading conditions. However, there is lack of scientific research which demonstrates the detection of defective bypass diodes in PV systems. Thus, this paper propose a PV bypass diode fault detection classification based on Mamdani fuzzy logic system, which depends on the analysis of Vdrop, Voc , and Isc obtained from the I-V curve of the examined PV module. The fuzzy logic system depends on three inputs, namely percentage of voltage drop (PVD), percentage of open circuit voltage (POCV), and the percentage of short circuit current (PSCC). The proposed fuzzy system can detect up to 13 different faults associated with defective and non-defective bypass diodes. In addition, the proposed system was evaluated using two different PV modules under various defective bypass conditions. Finally, in order to investigate the variations of the PV module temperature during defective bypass diodes and partial shading conditions, i5 FLIR thermal camera was used.",
keywords = "Photovoltaic modeul, Fault detection, Fuzzy logic, Thermal detection, Bypass diodes",
author = "Mahmoud Dhimish and Violeta Holmes and Behrooz Mehrdadi and Mark Dales and Peter Mather",
year = "2017",
month = "10",
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TY - JOUR

T1 - Detecting Defective Bypass Diodes in Photovoltaic Modules using Mamdani Fuzzy Logic System

AU - Dhimish, Mahmoud

AU - Holmes, Violeta

AU - Mehrdadi, Behrooz

AU - Dales, Mark

AU - Mather, Peter

PY - 2017/10/1

Y1 - 2017/10/1

N2 - In this paper, the development of fault detection method for PV modules defective bypass diodes is presented. Bypass diodes are nowadays used in PV modules in order to enhance the output power production during partial shading conditions. However, there is lack of scientific research which demonstrates the detection of defective bypass diodes in PV systems. Thus, this paper propose a PV bypass diode fault detection classification based on Mamdani fuzzy logic system, which depends on the analysis of Vdrop, Voc , and Isc obtained from the I-V curve of the examined PV module. The fuzzy logic system depends on three inputs, namely percentage of voltage drop (PVD), percentage of open circuit voltage (POCV), and the percentage of short circuit current (PSCC). The proposed fuzzy system can detect up to 13 different faults associated with defective and non-defective bypass diodes. In addition, the proposed system was evaluated using two different PV modules under various defective bypass conditions. Finally, in order to investigate the variations of the PV module temperature during defective bypass diodes and partial shading conditions, i5 FLIR thermal camera was used.

AB - In this paper, the development of fault detection method for PV modules defective bypass diodes is presented. Bypass diodes are nowadays used in PV modules in order to enhance the output power production during partial shading conditions. However, there is lack of scientific research which demonstrates the detection of defective bypass diodes in PV systems. Thus, this paper propose a PV bypass diode fault detection classification based on Mamdani fuzzy logic system, which depends on the analysis of Vdrop, Voc , and Isc obtained from the I-V curve of the examined PV module. The fuzzy logic system depends on three inputs, namely percentage of voltage drop (PVD), percentage of open circuit voltage (POCV), and the percentage of short circuit current (PSCC). The proposed fuzzy system can detect up to 13 different faults associated with defective and non-defective bypass diodes. In addition, the proposed system was evaluated using two different PV modules under various defective bypass conditions. Finally, in order to investigate the variations of the PV module temperature during defective bypass diodes and partial shading conditions, i5 FLIR thermal camera was used.

KW - Photovoltaic modeul

KW - Fault detection

KW - Fuzzy logic

KW - Thermal detection

KW - Bypass diodes

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JO - Global Journal of Researches in Engineering: F Electrical and Electronics Engineering

T2 - Global Journal of Researches in Engineering: F Electrical and Electronics Engineering

JF - Global Journal of Researches in Engineering: F Electrical and Electronics Engineering

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