An approach for failure detection and diagnosis in photovoltaic power systems based on Weibull distribution function

作者：Ferrero Jesus^*; Gomez Juan; Olivencia Fernando; Cerruela Gonzalo; Crespo Adolfo

来源：Dyna, 2017, 92(5): 532-537.

DOI：10.6036/8252

• Information Systems
• photovoltaic
• energy
• prediction
• failure
• Weibull distribution

This paper proposes a method to predict photovoltaic (PV) energy production based on the hypothesis that during the hours of activity of the plant, its production behaves as a stochastic process with a Weibull distribution function of two parameters which take into account the characteristics of the photovoltaic plant and the weather parameters measured in real time by a sensor network. The versatility and accuracy of the model has been validated through the deployment of a real-time SCADA system. The system developed includes power generation prediction and real-time comparison between the power expected and the power measured, for failure detection. With the implementation of the proposed system was achieved a production improvement of more than 7% with respect to the periods with failures.

• 出版日期2017-10