Cumulative Statistical Monitoring and Fault Forecasting for PV Plants

Silvano Vergura

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 locating abnormal operating conditions. The proposed algorithm has been applied to a real case and results are presented.

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IMEKO-TC10-2016-016.pdf

DOI

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IMEKO TC

TC10 - Measurement for Diagnostics, Optimization and Control

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