Novel Open-Circuit Photovoltaic Bypass Diode Fault Detection Algorithm

Dhimish, Mahmoud; Chen, Zhicong

doi:10.1109/jphotov.2019.2940892

Cited by 36 publications

(16 citation statements)

References 25 publications

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“…The repeated alternation in the switching (off/on) for the bypass diodes resulting in a possible failure. This is also the case in many investigated studies such as [28][29][30]. Results shown in Figure 8c,d present the annual degradation rate for the sub-array in both Albury and Newcastle PV systems.…”

Section: Discussionsupporting

confidence: 68%

Photovoltaic Degradation Rate Affected by Different Weather Conditions: A Case Study Based on PV Systems in the UK and Australia

Dhimish

Alrashidi

2020

Electronics

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This article presents the analysis of degradation rate over 10 years (2008 to 2017) for six different photovoltaic (PV) sites located in the United Kingdom (mainly affected by cold weather conditions) and Australia (PV affected by hot weather conditions). The analysis of the degradation rate was carried out using the year-on-year (YOY) degradation technique. It was found that the degradation rate in the UK systems varies from −1.05% and −1.16%/year. Whereas a higher degradation ranging from −1.35% to −1.46%/year is observed for the PV systems installed in Australia. Additionally, it was found that in the Australian PV systems multiple faulty PV bypass diodes are present due to the rapid change in the ambient temperature and uneven solar irradiance levels influencing the PV modules. However, in cold weather conditions (such as in the Northern UK) none of the bypass diodes were damaged over the considered PV exposure period. Furthermore, the number of PV hot spots have also been observed, where it was found that in the UK-based PV systems the number of hot spotted PV modules are less than those found in the Australian systems. Finally, the analysis of the monthly performance ratio (PR) was calculated. It was found that the mean monthly PR is equal to 88.81% and 86.35% for PV systems installed in the UK and Australia, respectively.There are various references in the literature that include the degradation rate of PV systems worldwide. However, there are a lack of references found in the literature describing the behavior and degradation analysis of existing PV systems in the United Kingdom and Australia. Therefore, in this article, the degradation rate of six PV sites installed in three different locations in the UK and Australia are examined over a period of ten years (2008 to 2017). Before moving to the methodology, it is indeed important to have an overview of the degradation rate across multiple regions in the world, which will be summarized as follows:• United States of America (USA): The USA is placed on the top five countries leading the PV technology worldwide [6]. In 1977, the Department of Energy established the Solar Energy Research Institute in Golden, Colorado. In 1991, it was renamed as the NREL. Outdoor testing of modules and sub-modules started at the Solar Energy Research Institute in 1982. When amorphous silicon (a-Si) modules first became commercially available, NREL began to report degradation rate that were considerably higher than −1.0%/year [7]. In [8] and [9], similar results of the PV degradation were found in small (<10 kWp) size PV installations, followed by a yearly degradation rate of approximate −0.8% to −1.25%/year. • Europe: The terrestrial focus of PV industry in Europe can be traced to the oil crisis of the 1970s. The development and institution of PV sites can be divided into publicly and privately funded projects. The publicly funded portion in Europe can be additionally divided into the umbrella organization of the Commission of the European Communities and individual national p...

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Section: Discussionsupporting

confidence: 68%

Photovoltaic Degradation Rate Affected by Different Weather Conditions: A Case Study Based on PV Systems in the UK and Australia

Dhimish

Alrashidi

2020

Electronics

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“…IVCT device can be used regularly to capture the I − V characteristics of SPV cells, modules, strings, and arrays to see how solar irradiance and temperature affect SPV generator performance [29], [30]. Simultaneously, managing a large SPV power plant requires maintenance rescheduling and fault detection before failure, which is often needed to increase performance and reliability [31]. Based on onsite IVCT data, several researchers have investigated diagnostic strategies [32]- [34].…”

Section: Introductionmentioning

confidence: 99%

Design and Development of Low Cost, Portable, On-Field I-V Curve Tracer Based on Capacitor Loading for High Power Rated Solar Photovoltaic Modules

Sayyad

Nasikkar

2021

IEEE Access

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This paper outlines a novel design of low-cost, portable, fast, and precise Current-Voltage Curve Tracer (IVCT) with automated parameter extraction for high power rated Solar Photovoltaic (SPV) modules to effectively and efficiently determine the outdoor operating status of SPV power generators. The developed IVCT is based on a Raspberry Pi microprocessor, a super-capacitive load, heat sinkable discharge resistances, and sensors with high sensitivity and resolution for measuring light irradiance, module temperature, current, and voltage. The proposed Outdoor Test Facility (OTF) consists of an Current-Voltage (I − V ) and a Power-Voltage (P − V ) curve tracer that uses a dynamic loading supercapacitor to safely and quickly scan the SPV module performance characteristics under real-world operating conditions. It also helps to achieve uniform sampling with better data accuracy. It uses Raspberry Pi as a central processing unit for low-cost data acquisition, data logging, and data computation. Furthermore, results from on-field testing of various small-scale SPV modules show that the I − V tracer can acquire higher-resolution characteristics curves and perform accurate model parameter recognition in real-time. Proposed IVCT can measure individual SPV modules without altering the electrical interconnection circuit, and the operating point can be shifted to 20 A and 45 V in few seconds. The proposed system recomposes the SPV module I − V characteristics based on this variance, with accuracies of 1 to 3% for the region near maximum power. INDEX TERMSI-V curve tracer, Capacitive load, Internet of Things (IoT), On-site I − V curve measurement, Solar Photovoltaic VOLUME x, 20xx

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“…Fadhel et al [11] adopt VMPP, IMPP and PMPP as features to detect PS. Dhimish et al [12] use thresholds to analyze VMPP and the voltage drop on the I-V curves to identify PS. Similar approaches can also be found in [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Fault diagnosis of photovoltaic panels using full I–V characteristics and machine learning techniques

Delpha

Migan‐Dubois

et al. 2021

Energy Conversion and Management

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Novel Open-Circuit Photovoltaic Bypass Diode Fault Detection Algorithm

Cited by 36 publications

References 25 publications

Photovoltaic Degradation Rate Affected by Different Weather Conditions: A Case Study Based on PV Systems in the UK and Australia

Photovoltaic Degradation Rate Affected by Different Weather Conditions: A Case Study Based on PV Systems in the UK and Australia

Design and Development of Low Cost, Portable, On-Field I-V Curve Tracer Based on Capacitor Loading for High Power Rated Solar Photovoltaic Modules

Fault diagnosis of photovoltaic panels using full I–V characteristics and machine learning techniques

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