investigation of cloud indicators for low voltage distribution grid transformers · 2013-10-15 ·...
Post on 25-Feb-2020
5 Views
Preview:
TRANSCRIPT
1
T
Investigation of cloud indicators
for low voltage distribution grid
transformers Solar Resource and Forecast Data for High PV Penetration
jointly with IEA – International Energy Agency PVPS Task 14 & IEA SHC Task 46
01.10.2013, Paris
Holger Ruf
Marion Schroedter-Homscheidt
Hans Georg Beyer
Florian Meier
Gerd Heilscher
Contents
Motivation & Targets
Test Site & Background
Measured Raw Data
Approach & Results
Conclusion & Outlook
2
3
Research Target
Investigation of correlation between clouds and voltage at a low voltage transformer
Is it possible to calculate the bus bar voltage with satellite data?
Why Clouds and not only irradiance? Additional necessary information atmospheric extinction due to clouds and aerosols
difficult to distinguish between cloudy and clear cases when looking at the voltage and/or irradiance conditions
nearly impossible to distinguish between overcast and scattered cloud cases from irradiance data
Test site 1
Structure
Status End 2012
133 Houses
21 PV Systems
230 kWp
Consumption
~ 1000 MWh
Generation
~230 MWh 4
Regional
breaker
450m
Bus bar voltage
Influencing Variable
Voltage depends on Load
Generation
Medium voltage
Load following standard load profile
Generation following irradiance
DSO: „Medium voltage is fix 10.2 kV“ (???) 5
+10% (EN 50160)
-10% (EN 50160)
UN U
U
t
Dynamic in the Voltage
Influence of the Medium Voltage
7
Dependency on
medium voltage
Dependency of
load and generation
Will get steeper
with larger PV share
or weaker grid
Approach (1/2)
Removing Medium Voltage
Influence
Necessary inputs: Transformer parameters available
Power flows measured at the transformer
8
dvtransformer
Approach (2/2)
Removing Load Influence
Necessary inputs: Apparent power measured at transformer
Power consumption adopted standard load profile
9
dvtransformer, only PV
Results (2/2)
Mean values
Clear sky
Overcast
Voltage rise: reduction of the voltage drop over the transformer
11
Conclusion and Outlook
Quantifying cloud influence to low voltage grid
Voltage is not suitable due to medium voltage
influence
Voltage drop over transformer is usable
Validation with simulation
Days between clear sky and overcast more
complex; satellite data to be used for scattered
situation detection
Voltage inside the grid more data necessary
Bias verification difficult
Suggestions and hints???
12
13
Hochschule Ulm
Institut für Energie- und Antriebstechnik
Eberhard Finckh Str. 11
89075 Ulm
Prof. Gerd Heilscher, Holger Ruf
0731-50 28360
0179-5978 024
heilscher@hs-ulm.de
ruf@hs-ulm.de
Marion Schroedter-Homscheidt
Deutsches Zentrum für Luft- und Raumfahrt
marion.schroedter-homscheidt@dlr.de
Hans Georg Beyer
University of Agder
hans-georg.beyer@uia.no
Florian Meier
SWU Netze GmbH
florian.meier@swu.de The research has received funding from the European union´s Seventh Framework Programme under Grant
Agreement no 262892 (ENDORSE project) and from the German Federal Ministry for the Environment,
Nature Conservation and Nuclear Safety (BMU) under Agreement no. 0325385 (SYSPV-NS project).
Thank you for your attention
top related