Cumulative Statistical Analysis to Monitor the Energy Performance of PV Plants

Authors

  • S. Vergura Author

DOI:

https://doi.org/10.24084/repqj09.598

Abstract

This paper proposes a procedure based on

statistical tools for diagnosis of PhotoVoltaic (PV) plants. As

the data are acquired, statistical analyses are realized. At every

new loop other data are added to the previous ones,

implementing a cumulative statistical analysis. In this manner it

is possible to follow the trend of some specific parameters and

to understand the real operation of the PV plant as the

environmental conditions change during the year. The proposed

approach, based on ANOVA and Kruskal-Wallis tests, is

effective in detecting and locating abnormal operating

conditions. The proposed algorithm has been applied to a real

case and results are presented

Author Biography

  • S. Vergura

     

    Dipartimento di Elettrotecnica ed Elettronica

    Politecnico di Bari

    Via E. Orabona 4, 70100 Bari (Italy)

    Phone/Fax number:+39 080 5963590, e-mail: vergura@poliba.it

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Published

2024-01-17

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Section

Articles