Descripción del proyecto
Herramientas de diagnóstico para módulos fotovoltaicos
En los últimos años, la transición ecológica, el impulso de las fuentes de energía renovables y otras iniciativas clave han impulsado el desarrollo de los generadores fotovoltaicos (FV) y las celdas solares, lo que los posiciona como una fuente de energía renovable importante. Desafortunadamente, los paneles fotovoltaicos pueden sufrir degradación y fallos prematuros, que afectan tanto a paneles individuales como a cadenas enteras de paneles conectados. Esto puede reducir la producción de energía y comprometer la fiabilidad del sistema. Con el apoyo de las Acciones Marie Skłodowska-Curie, el equipo del proyecto ISDT pretende desarrollar una herramienta de diagnóstico que permita supervisar, analizar y diagnosticar los paneles fotovoltaicos de forma eficiente, rápida y frecuente. Esta herramienta ayudará a garantizar el mantenimiento o la sustitución a tiempo de los paneles y sistemas, mejorando así la fiabilidad y longevidad de las instalaciones de energía solar.
Objetivo
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.
Palabras clave
Programa(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Convocatoria de propuestas
(se abrirá en una nueva ventana) HORIZON-MSCA-2022-PF-01
Consulte otros proyectos de esta convocatoriaRégimen de financiación
HORIZON-TMA-MSCA-PF-EF -Coordinador
84084 Fisciano Sa
Italia