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Institute
In
this paper, a new method is demonstrated for onlin
e remote simulation of photovo
ltaic systems. The required
communication technology for the data exchange is introduced a
nd the methods of PV generato
r parameter extraction for the
simulation models are analysed. The method
shown for parameter extraction from the ma
nufacturer data is especially useful
for the commissioning procedure, where the measured installed pow
er is transferred to standard test conditions using the
simulation model and can then be easily compared with the de
sign power. At a simulation accuracy of 2% using the software
environment INSEL
®
any problems with the PV gene
rator can reliably be detected.
Online simulation of a grid connected PV generator is then
carried out during the operation of the photovoltaic plant. The
visualisation includes both the monitored and
the simulated online data sets, so that a very efficient fault detection scheme i
s
available. The method is implemented and
validated on several grid connected photovolta
ic power plants in Germany. It is
excellently suited to provide automatic and real time fault
detection and significantly impr
ove the commissioning procedure
for photovoltaic plants of all sizes.
Die starke Nachfrage für wirtschaftliche und technische Lösungen zur Umsetzung der Energiewende wirkt sich auch auf Projektinitiativen der Forschungsgruppen am Institut für Energiesystemtechnik (INES) der Hochschule Offenburg aus. Am Campus Nord entsteht seit 2012 ein intelligentes Energienetz als Reallabor, das als Teil eines Smart Grid betrieben werden kann.