Grid Integration of PV Battery Systems with Forecast-Based ...€¦ · Grid Integration of PV...
Transcript of Grid Integration of PV Battery Systems with Forecast-Based ...€¦ · Grid Integration of PV...
Grid Integration of PV Battery Systems with Forecast-Based
Operation Strategies
Johannes Weniger, Tjarko Tjaden, Volker Quaschning
HTW Berlin - University of Applied Sciences, Germany
28th European PV Solar Energy Conference and Exhibition,
30th September 2013, Paris, France
The project “PVprog” (11410 UEP II/2) is funded by the
Environmental Relief Program (UEP II) that is co-financed
by the European Union through the European Regional
Development Fund (ERDF) and the state of Berlin.
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0 2 4 6 8 10 12 14 16 18 20 22 24
0
20
40
60
80
100
120
140
Pow
er in
GW
Hour of the day
200 GWp
140 GWp
70 GWp
35 GWp
Load
Installed PV capacity
Impact of PV on the electricity supply in Germany
Data: ENTSO-E (load), EEX (PV generation for the PV capacity of 35 GWp)
Sunday, 21/7/2013
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Combining PV systems with storage batteries
PV generator
PV inverter
Loads
Control
unit
=
Charge regulator
and inverter
== M
PP
TA
CD
C
=
== B
AT
AC
DC
Circuit breaker
Battery
888.888
kWh Energy meter
Grid
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Operation strategies of PV battery systems
Optimal local PV use
Reduced grid load
Forecast-based
Balancing capability
Battery charge
Grid feed-in Feed-in limit
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Fixed feed-in limitation
Increasing self-consumption
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●
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Dynamic feed-in limitation
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●
●
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Dynamic feed-in limitation
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0.3 0.4 0.5 0.6 0.7
0.0
0.5
1.0
1.5
2.0
2.5
7.5%
1%
25%
20%
15%
10%
5%
2.5%
0%
Maximum feed-in power in kW/kWp
Usable
batt
ery
capacity in k
Wh/k
Wp
0%
5%
10%
15%
20%
25%
30%
35%Annual curtailment losses
Sizing of PV battery systems for fixed feed-in limitation
Assumptions: no direct use of PV power by the load, complete discharge of the battery at night meteorological data: BSRN/DWD Lindenberg, Germany
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Annual duration curve of the feed-in power
0 500 1000 1500 2000 2500 3000 3500 4000
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
PV system
PV system with self-consumption
PV battery system to increase self-consumption
PV battery system with fixed feed-in limitation
PV battery system with dynamic feed-in limitation
Number of hours in the year
Feed-i
n p
ow
er
in k
W/k
Wp
PV system size 4 kWp, usable battery capacity 4 kWh, annual load demand 4 MWh load data: VDI 4655, meteorological data: BSRN/DWD Lindenberg, Germany
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Ramp rates of the feed-in power
100
101
102
103
104
105
-1.0 -0.8 -0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 1.0
PV system
PV system with self-consumption
PV battery system to increase self-consumption
PV battery system with fixed feed-in limitation
PV battery system with dynamic feed-in limitation
Fre
quency o
f occure
nce p
er
year
Ramp rate of the feed-in power in kW/(kWp min)
PV system size 4 kWp, usable battery capacity 4 kWh, annual load demand 4 MWh load data: VDI 4655, meteorological data: BSRN/DWD Lindenberg, Germany
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Conclusion
• By implementing forecasts of the PV power and load into the operation of PV battery systems, the self-consumption can be increased and the feed-in power can be reduced.
• With forecast-based operation strategies not only the peaks but also the ramps of the feed-in power are reduced.
• A dynamic feed-in limitation is also able to balance the feed-in profiles of existing PV systems.
• Decentralised battery systems can increase the hosting capacity of the electricity grid for PV systems.
• The conjunction of PV systems with batteries is of decisive importance to tap the whole PV potential.
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