String level DC performance analysis in Rooftop photovoltaic systems with multi-MPPT inverters

Rooftop photovoltaic (PV) systems are a feasible option to address electricity costs in both residential and industrial sectors. It must be highlighted that multi-string inverters boost the penetration of this type of systems. In the literature many studies have been conducted on the performance ana...

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Detalles Bibliográficos
Autores: Muñoz-Rodríguez, Francisco José, Sánchez-Jiménez, José Luis, Robles, Carlos, Ventura, Cristina, Gilabert, C., Rus, Catalina, Jiménez-Castillo, Gabino
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2026
País:España
Institución:Universidad de Jaén
Repositorio:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
OAI Identifier:oai:ruja.ujaen.es:10953/7304
Acceso en línea:https://doi.org/10.1016/j.solener.2026.11435
https://www.sciencedirect.com/science/article/pii/S0038092X26000472
https://hdl.handle.net/10953/7304
Access Level:acceso abierto
Palabra clave:Photovoltaics
Monitored data
Performance analysis
Multistring inverter
Rooftop PV
Energy&Fuel
Descripción
Sumario:Rooftop photovoltaic (PV) systems are a feasible option to address electricity costs in both residential and industrial sectors. It must be highlighted that multi-string inverters boost the penetration of this type of systems. In the literature many studies have been conducted on the performance analysis of Rooftop PV from monitored data. However, they focus on the inverter output: they don’t assess the performance of the different strings and MPPTs. This fact may make it difficult to assess low performance, which may be masked by the global inverter performance. Therefore, the main goal of this paper is to provide a new performance analysis approach which focus on the DC side of the inverter and will be based on the performance analysis per string, per MPPT and at a global level at the input of the inverter. In this sense, weighted calculated parameters should be considered. Monitored data from Rooftops PV in two olive mills will illustrate this new methodology. Moreover, a Rooftop PV with a gable roof is analysed. Results show that this approach may help when identifying strings that provide low performance values where, if the rest of strings and MPPTs provide a proper performance, this malfunctioning may be difficult to detect in a global performance analysis. Therefore, this disaggregated and embedded approach not only allows a better low performance detection but can also play a fundamental role in maintaining the desired performance and meeting the design requirements.