Monitoring and remote failure detection of grid-connected PV systems based on satellite observations

Drews, Anja; Keizer, A.C. de; Beyer, Hans Georg; Lorenz, Elke; Betcke, Jethro; Sark, W.G.J.H.M. van; Heydenreich, W.; Wiemken, Edo; Stettler, S.; Toggweiler, P.; Bofinger, Stefan; Schneider, Maximilian; Heilscher, Gerd; Heinemann, Detlev

doi:10.1016/j.solener.2006.06.019

Cited by 241 publications

(114 citation statements)

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“…Monitoring a PV system is a well-known and widespread practice around world [21][22][23][24][25][26][27][28][29][30][31][32]. Monitoring all operational parameters of a PV solar plant (e.g., DC-AC voltages, currents, power, solar radiation, etc.)…”

Section: Monitoring Of Pv Power Plant-method Results and Discussionmentioning

confidence: 99%

One-Year Monitoring PV Power Plant Installed on Rooftop of Mineirão Fifa World Cup/Olympics Football Stadium

et al. 2017

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This paper presents results of one-year monitoring of AC side electrical parameters and the characterization of local solar radiation at the biggest rooftop PV Power Plant, with an installed capacity of 1.42 MWp, mounted at Mineirão Football Stadium in Brazil. This stadium is one of the sport facilities that hosted 2014 FIFA World Cup and Rio 2016 Summer Olympics Games in the country. Results showed how it is important to study and characterize the solar resource in the region of interest, based on historic data, to provide the understanding of solar radiation and thus project PV power plants with better performance. Furthermore, AC electrical data show the behavior of active, reactive and apparent powers and the influence of the PV system on the power factor at the local grid utility connection point. Finally, PV power plant performance data (as annual final yield, performance ratio and capacity factor) are also presented and compared with data from PVsyst software simulations. The results over the monitoring period were good considering the specificities of the stadium.

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Section: Monitoring Of Pv Power Plant-method Results and Discussionmentioning

confidence: 99%

One-Year Monitoring PV Power Plant Installed on Rooftop of Mineirão Fifa World Cup/Olympics Football Stadium

et al. 2017

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“…To solve this problem, decision-making algorithms are proposed to detect and identify faults [14], but the accuracy of related methods depends on the amount of labeled data under different working conditions. To detect faults in PV systems that are difficult to reach, a remote monitoring and fault detection method was developed [15], in which satellite-driven irradiation data are used to simulate energy output of a PV system.…”

Section: Introductionmentioning

confidence: 99%

Photovoltaic Array Fault Detection by Automatic Reconfiguration

Dong

Cai

et al. 2017

Energies

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Photovoltaic (PV) system output electricity is related to PV cells' conditions, with the PV faults decreasing the efficiency of the PV system and even causing a possible source of fire. In industrial production, PV fault detection is typically laborious manual work. In this paper, we present a method that can automatically detect PV faults. Based on the observation that different faults will have different impacts on a PV system, we propose a method that systematically and iteratively reconfigures the PV array until the faults are located based on the specific current-voltage (I-V) curve of the (sub-)array. Our method can detect several main types of faults including open-circuit faults, mismatch faults, short circuit faults, etc. We evaluate our methods by Matlab/Simulink-based simulation. The results show that the proposed methods can accurately detect and classify the different faults occurring in a PV system.

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“…High resolution monitoring studies make use of data with a short recording interval, for example minutely to hourly intervals, and a relatively small number of measured parameters, such as solar irradiance and electricity generation (Drews et al, 2007;Oozeki et al, 2003;Pearsall and Hynes, 2003;Reinders et al, 1999;Baltus et al, 1998). Energy losses in the PV systems are assessed by investigating the trends and patterns in the recorded data.…”

Section: Introductionmentioning

confidence: 99%

“…This shows when systems are performing poorly (such as low electricity generation when compared to similar systems) however it cannot be use to explain why this poor performance occurs. Monitoring and analysis must be carried out at much higher resolution (for example daily, hourly or minutely) to fully investigate the many factors which affect PV system performance.High resolution monitoring studies make use of data with a short recording interval, for example minutely to hourly intervals, and a relatively small number of measured parameters, such as solar irradiance and electricity generation (Drews et al, 2007;Oozeki et al, 2003;Pearsall and Hynes, 2003;Reinders et al, 1999;Baltus et al, 1998). Energy losses in the PV systems are assessed by investigating the trends and patterns in the recorded data.…”

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confidence: 99%

A simple model of PV system performance and its use in fault detection

2010

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Results are presented from a monitoring study of the performance of a sample of UK domestic PV systems.Five minutely average climatic and performance data was recorded for 27 PV systems at two sites for up to two years of operation. On average, the annual energy losses due to faults were 3.6% (Site A, first year of operation), 6.6% (Site A, second year of operation) and 18.9% (Site B, first year of operation). Simple empirical models are constructed to describe the performance of the PV systems under 'normal operation' (when no faults occur). New analysis techniques are developed which estimate the energy losses of four different fault categories: sustained zero efficiency faults; brief zero efficiency faults; shading; and non-zero efficiency non-shading faults. The results demonstrate that faults have the potential to cause significant energy losses in domestic PV systems. The benefits of applying the data analysis techniques described in this work to PV system clusters and other urban micro-generation technologies are discussed. KeywordsPhotovoltaic; PV; monitoring; high resolution; analysis; model; fault detection; shading IntroductionOne of the main aims of research in building integrated PV systems is to improve the performance of installed PV systems. A drive for greater efficiency is necessary to increase the amount of electricity generated per Wp of installed PV capacity and so reduce the unit cost of the electricity. An essential part of such work is in understanding the energy losses which occur in installed PV systems and developing methods to minimise these energy losses. Some losses, such as the energy lost in the conversion of sunlight to electricity by the PV cell, are unavoidable and can only be significantly reduced by improvements in the technology of PV system components. Other energy losses, such as shading, are related to the installation of the PV systems and can be minimised through careful planning, design and operation. 06/05/2010-2 -Energy losses in installed PV systems can be detected by monitoring the operational performance and analysing the recorded data. Monitoring of PV systems has been used to develop guides and benchmarks for PV system performance (IEA, 2000). Demonstration PV systems (usually among the first PV systems to be installed in a country) and systems with unique characteristics (such as new cell technologies or novel construction techniques) often have their performance monitored in detail. Such monitoring studies record the performance of the PV systems, analyse the energy losses and provide recommendations to improve the design of future systems (e.g. Roaf and Fuentes, 1999). This becomes an iterative process when the next generation of PV systems incorporating the design improvements are themselves monitored and used to develop further recommendations to raise efficiency (Erge et al., 2001).PV systems are often monitored according to standards, for example the British Standard BS EN 61724 (BSI, 1998) and the recorded data analysed on an annual basis (e.g. ...

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Monitoring and remote failure detection of grid-connected PV systems based on satellite observations

Cited by 241 publications

References 5 publications

One-Year Monitoring PV Power Plant Installed on Rooftop of Mineirão Fifa World Cup/Olympics Football Stadium

One-Year Monitoring PV Power Plant Installed on Rooftop of Mineirão Fifa World Cup/Olympics Football Stadium

Photovoltaic Array Fault Detection by Automatic Reconfiguration

A simple model of PV system performance and its use in fault detection

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