Cumulative Statistical Analysis to Monitor the Energy Performance of PV Plants
DOI:
https://doi.org/10.24084/repqj09.598Abstract
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