Locating faults in photovoltaic systems data

Autoren Alexander Kogler
Patrick Traxler
Editoren W. L. Woon
Z. Aung
O. Kramer
S. Madnick
Titel Locating faults in photovoltaic systems data
Buchtitel Data Analytics for Renewable Energy Integration - Proc. 4th ECML PKDD Workshop, DARE 2016
Typ in Konferenzband
Serie Lecture Notes in Artificial Intelligence
Band 10097
ISBN 978-3-319-50946-4
DOI 10.1007/978-3-319-50947-1_1
Monat January
Jahr 2017
Seiten 1-9
SCCH ID# 16064

Faults of photovoltaic systems often result in an energy drop and therefore decrease the efficiency of the system. Detecting and analyzing faults is thus an important problem in the analysis of photovoltaic systems data. We consider the problem of estimating the starting time and end time of a fault, i.e. we want to locate the fault in time series data. We assume to know the power output, plane-of-array irradiance and optionally the module temperature. We demonstrate how to use our fault location algorithm to classify shading events. We present results on real data with simulated and real faults.