input time series - eurosolar · electricity cost savings of the real pv-battery system to the grid...
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Introduction
With the Efficiency guideline for PV-battery
systems (available in German at bves.de)
standardized performance evaluation test
procedures are proposed. By means of the
experimental results obtained from the
laboratory tests, simulation models of PV-
battery systems can be parametrized and
use case-specific simulation tests can be
conducted. An appropriate performance
index can be derived from the simulation
tests and an efficiency label for PV-battery
systems could be established on its basis in
the future. In this way, the comparability
with regard to the overall performance of
different products is improved. Fig. 1: Measures to increase the comparability
between grid-connected PV-battery systems.
An appropriate performance index for grid-
connected PV-battery systems has to fulfill
several requirements. The index should …
• assess the overall system performance
including all system components.
• enable the comparability between PV-
battery systems of different sizes and
different system topologies.
• take all loss mechanisms into account.
• characterize the system performance
over a period of at least one year.
• enable the economic assessment of grid-
connected PV-battery systems.
Open source simulation model for AC-coupled PV-battery systems
PerModAC enables the simulation of energy
flows in AC-coupled PV-battery systems
with a temporal resolution of one second
over a period of one year. The model takes
sizing, conversion, energy management,
control and standby losses into account. Its
parameters can be derived from laboratory
measurements according to the efficiency
guideline. Several performance metrics can
be obtained from the simulation. The Matlab
source code including an exemplary input
data set is freely available at:
http://pvspeicher.htw-berlin.de/permod
Fig. 2: Simplified structure of PerModAC and order of the modelled loss mechanisms.
System Performance Index (SPI) – a novel efficiency indicator for PV-battery systems
With the System Performance Index (SPI) a
new efficiency indicator was devised. The
SPI is defined as the ratio of the grid
electricity cost savings of the real PV-
battery system to the grid electricity cost
saving potential of an identical lossless
system. With detailed loss analyses, the
relevance of the various loss mechanisms
can be extracted from the SPI-reduction.
Fig. 3: Grid electricity costs (left) and savings
(right) of an exemplary PV-battery system (PV
output 5 kWp, battery capacity 3.7 kWh, load
demand 5010 kWh/a, retail price 0.28 €/kWh,
feed-in tariff 0.12 €/kWh).
The main scope of application of the SPI is
the comparison of different PV-battery
systems. Moreover, the impact of distinct
system parameters on the overall efficiency
can be assessed. Hence, the SPI allows
improving the overall system performance
of grid-connected PV-battery systems and
can be used for market reviews and system
optimization purposes.
Fig. 4: Left: Impact of the battery capacity on
the grid electricity cost savings and the SPI of
an ideal and real PV-battery system. Right: SPI
for varying system parameters.
Model-based performance evaluation of
grid-connected PV-battery systems
Johannes Weniger, Tjarko Tjaden, Volker Quaschning
HTW Berlin - University of Applied Sciences
Research group: solar storage systems
Standardized data sheet specifications
Label
Efficiency index
Laboratory test according to the efficiency guideline
Model-based simulation test
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HTW Berlin - University of Applied Sciences | Email: [email protected] | Web: pvspeicher.htw-berlin.de
SPI = Cost savings of the real system
Cost savings of the ideal system
PerMod AC
Battery system
Inp
ut t
ime s
erie
s
PV ystem s
MPP-output of thePV generator
Conversion lossesof the PV inverter
Residualpower
Dead time of thecontrol unit
Steady state errorof the control unit
Max. power restriction
Settling time of the control unit
End of chargemode
Conversion lossesof the battery converter
Conversion lossesof the battery unit
Change in the state of energyStandby lossesElectrical load