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Design and implementation of a frequency domain online diagnostic tool for PV modules

Project description

Photovoltaics module diagnosis toolset

In recent years, the green transition, the push for renewable energy sources, and other critical initiatives have driven the development of photovoltaic (PV) generators and solar cells, positioning them as an important renewable energy sources. Unfortunately, PV panels can experience early degradation and failures, affecting individual panels or entire strings of connected panels. This can reduce energy production and compromise system reliability. With the support of the Marie Skłodowska-Curie Actions programme, the ISDT project aims to develop a diagnostic tool that will enable efficient, rapid, and frequent monitoring, analysis, and diagnosis of PV panels. This tool will help ensure timely maintenance or replacement of panels and systems, thereby improving the reliability and longevity of solar power installations.

Objective

Photovoltaic (PV) generators have been established as one of the most important renewable energy sources in the last years and they will have a main role in the energy transition that is envisaged for the coming years according to the European Union Recovery Plan and the Green Deal. However, PV panels may suffer early degradation and failures that affect the PV system reliability and considerably reduce the energy production, not only on a specific panel but in the entire string to which the panel is connected. Therefore, it is important to develop diagnostic tools to improve energy yield, extend the lifetime of the panels, and improve the effectiveness of maintenance activities. Hence, this project aims to develop an online monitoring and diagnostic system, for PV panels, that uses the impedance spectrum (IS) to detect failures while they are operating at their maximum power point (MPP). Therefore, there isn’t a reduction in the power produced by the generator and the measurements can be performed within short time frames to detect the failures as soon as possible. The proposed diagnostic tool will be formed by an electronic device and a failure classification algorithm running on an embedded system. Hence, the project begins with the design and implementation of the electronic device to generate the signals and implement the measurements required to obtain the IS. Then, the project continues with the development of a failure classification algorithm from the analysis of the PV generator dynamic model parameters (DMP), which are estimated using the ISs obtained with the proposed electronic device. Finally, the diagnostic tool will be experimentally validated with PV panels of different technologies and with real failures.

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Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

(opens in new window) HORIZON-MSCA-2022-PF-01

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Coordinator

UNIVERSITA DEGLI STUDI DI SALERNO
Net EU contribution
€ 188 590,08
Address
VIA GIOVANNI PAOLO II 132
84084 Fisciano Sa
Italy
Region
Sud Campania Salerno
Activity type
Higher or Secondary Education Establishments
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Total cost
No data

Partners (1)