Development of an analytical performance review methodology for PV systems based on SCADA data

The main purpose of this project is to show the development of a new methodology for the PV industry to ease the process of performance review of PV plants. This methodology will be based on the creation of models using SCADA data, real data from the plant, using the Python programming language. This methodology will be automated, having as little manual operations as possible, resulting in a fast and with little human error process. This methodology must be robust, allowing to create models for different types of PV systems, from little and simple plants to large and complex systems. The Python-based methodology will allow the analyst to obtain two main outputs. The first one being the quantification of losses due to underperformances of the PV plant during the operational period. This methodology will classify the underperformances into different groups, and perform the energetic quantification afterwards. The second output will be the historic energy prediction, extrapolating the model created using real data with historic data, showing how the PV plant would have performed in the past, allowing to make future predictionsObjectius de Desenvolupament Sostenible::7 - Energia Assequible i No Contaminant::7.b - Per a 2030, ampliar la infraestructura i millorar la tecnologia per tal d’oferir serveis d’energia moderns i sos­tenibles per a tots els països en desenvolupament, en particular els països menys avançats, els petits estats insulars en desenvolupament i els països en desenvolupament sense litoral, d’acord amb els programes de suport respectiu