Novel Open-Circuit Photovoltaic Bypass Diode Fault Detection Algorithm

Mahmoud Dhimish, Zhicong Chen

Research output: Contribution to journalArticle

Abstract

In this article, a novel photovoltaic (PV) bypass diode fault detection algorithm is presented. The algorithm consists of three main steps. First, the threshold voltage of the current–voltage (I–V) curve is obtained using different failure bypass diode scenarios. Second, the theoretical prediction for the faulty regions of bypass diodes is calculated using the analysis of voltage drop in the I–V curve as well as the voltage at maximum power point. Finally, the actual I–V curve under any environmental condition is measured and compared with theoretical predictions. The proposed algorithm has been experimentally evaluated using a PV string that comprises three series-connected PV modules, and subtotal of nine bypass diodes. Various experiments have been conducted under diverse bypass diodes failure conditions. The achieved detection accuracy is always greater than 99.39% and 99.74% under slow and fast solar irradiance transition, respectively.
LanguageEnglish
Number of pages9
JournalIEEE Journal of Photovoltaics
Early online date30 Sep 2019
DOIs
Publication statusE-pub ahead of print - 30 Sep 2019

Fingerprint

fault detection
bypasses
Fault detection
Diodes
diodes
Networks (circuits)
electric potential
curves
Electric potential
predictions
Threshold voltage
irradiance
threshold voltage
strings
modules
Experiments

Cite this

@article{8407a1e434b5429c92a6c94b631a69f8,
title = "Novel Open-Circuit Photovoltaic Bypass Diode Fault Detection Algorithm",
abstract = "In this article, a novel photovoltaic (PV) bypass diode fault detection algorithm is presented. The algorithm consists of three main steps. First, the threshold voltage of the current–voltage (I–V) curve is obtained using different failure bypass diode scenarios. Second, the theoretical prediction for the faulty regions of bypass diodes is calculated using the analysis of voltage drop in the I–V curve as well as the voltage at maximum power point. Finally, the actual I–V curve under any environmental condition is measured and compared with theoretical predictions. The proposed algorithm has been experimentally evaluated using a PV string that comprises three series-connected PV modules, and subtotal of nine bypass diodes. Various experiments have been conducted under diverse bypass diodes failure conditions. The achieved detection accuracy is always greater than 99.39{\%} and 99.74{\%} under slow and fast solar irradiance transition, respectively.",
keywords = "Solar Cell, Photovoltaics (PV), Renewable energy, Fault Detection, Bypass diodes, Electronics, algorithm configuration, Current-voltage (I-V) curve, Power loss, Solar irradiance",
author = "Mahmoud Dhimish and Zhicong Chen",
year = "2019",
month = "9",
day = "30",
doi = "10.1109/JPHOTOV.2019.2940892",
language = "English",
journal = "IEEE Journal of Photovoltaics",
issn = "2156-3381",
publisher = "IEEE Electron Devices Society",

}

Novel Open-Circuit Photovoltaic Bypass Diode Fault Detection Algorithm. / Dhimish, Mahmoud; Chen , Zhicong.

In: IEEE Journal of Photovoltaics, 30.09.2019.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Novel Open-Circuit Photovoltaic Bypass Diode Fault Detection Algorithm

AU - Dhimish, Mahmoud

AU - Chen , Zhicong

PY - 2019/9/30

Y1 - 2019/9/30

N2 - In this article, a novel photovoltaic (PV) bypass diode fault detection algorithm is presented. The algorithm consists of three main steps. First, the threshold voltage of the current–voltage (I–V) curve is obtained using different failure bypass diode scenarios. Second, the theoretical prediction for the faulty regions of bypass diodes is calculated using the analysis of voltage drop in the I–V curve as well as the voltage at maximum power point. Finally, the actual I–V curve under any environmental condition is measured and compared with theoretical predictions. The proposed algorithm has been experimentally evaluated using a PV string that comprises three series-connected PV modules, and subtotal of nine bypass diodes. Various experiments have been conducted under diverse bypass diodes failure conditions. The achieved detection accuracy is always greater than 99.39% and 99.74% under slow and fast solar irradiance transition, respectively.

AB - In this article, a novel photovoltaic (PV) bypass diode fault detection algorithm is presented. The algorithm consists of three main steps. First, the threshold voltage of the current–voltage (I–V) curve is obtained using different failure bypass diode scenarios. Second, the theoretical prediction for the faulty regions of bypass diodes is calculated using the analysis of voltage drop in the I–V curve as well as the voltage at maximum power point. Finally, the actual I–V curve under any environmental condition is measured and compared with theoretical predictions. The proposed algorithm has been experimentally evaluated using a PV string that comprises three series-connected PV modules, and subtotal of nine bypass diodes. Various experiments have been conducted under diverse bypass diodes failure conditions. The achieved detection accuracy is always greater than 99.39% and 99.74% under slow and fast solar irradiance transition, respectively.

KW - Solar Cell

KW - Photovoltaics (PV)

KW - Renewable energy

KW - Fault Detection

KW - Bypass diodes

KW - Electronics

KW - algorithm configuration

KW - Current-voltage (I-V) curve

KW - Power loss

KW - Solar irradiance

U2 - 10.1109/JPHOTOV.2019.2940892

DO - 10.1109/JPHOTOV.2019.2940892

M3 - Article

JO - IEEE Journal of Photovoltaics

T2 - IEEE Journal of Photovoltaics

JF - IEEE Journal of Photovoltaics

SN - 2156-3381

ER -