1. Descriptive and Inferential Statistics for Supervising and Monitoring the Operation of PV Plants.
- Author
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Vergura, Silvano, Acciani, Giuseppe, Amoruso, Vitantonio, Patrono, Giuseppe B., and Vacca, Francesco
- Subjects
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PHOTOVOLTAIC power systems , *ALGORITHMS , *ELECTRIC inverters , *GAUSSIAN distribution , *ANALYSIS of variance - Abstract
This paper deals with the problem of supervising and monitoring a photovoltaic (PV) plant. First, an offline descriptive and inferential statistical procedure for evaluating the goodness of system performance is presented. Then, an online inferential algorithm for real-time monitoring and fault detection is introduced. The two methodologies utilize the energy output of inverters as input data and are valid for both Gaussian and non-normal distribution of data. The procedures have been tested on a real PV installation, and results are reported for the case of a grid-connected PV plant in Italy for which one PV module over 132 resulted in being badly connected. [ABSTRACT FROM AUTHOR]
- Published
- 2009
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