dg demonet smart lv grid increasing the der hosting capacity of distribution networks - voltage...
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DG DemoNet Smart LV GridIncreasing the DER Hosting Capacity of Distribution Networks - Voltage Control from Simulation to Field Test
Die Evolution der Elektrizitätsnetze – ein Status Quo
17.04.2012, Hilton Vienna Stadtpark
Helfried Brunner
Deputy Head Electric Energy System
Energy Department
Austrian Institute of Technology
Austrian Institute of Technology
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AIT Austrian Institute of Technology
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AIT Austrian Institute of Technology
Energy Mobility Safety & Security
Health & Environment
Foresight & Policy
Development
Seibersdorf Labor GmbH
Nuclear Engineering Seibersdorf
GmbH
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Guiding radical innovation Position of AIT
Radical Innovations
passive active static systems dynamic systems
local urban wide implementation
single technologies integrated approach(planning and management)
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AIT Energy Department
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Energy Department
Research Area 1: Electric Energy Infrastructure
Research Area 2: Energy for the Built
Environment
Project DG DemoNet Smart LV Grid
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Objectives
Increase the hosting capacity of LV networks based on:
1. Intelligent planning
new planning methods enabling higher DER densities
2. Intelligent monitoring
new monitoring solutions for grid planning and operation
3. Active management and control using communication infrastructures restricted in bandwidth and availability
new and cost-effective active control solution approach
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Overview
• Applicant Austrian Institute of Technology• Partner Siemens AG Österreich
Fronius International GmbH Energie AG Oberösterreich Netz GmbHSalzburg Netz GmbHLinz Strom Netz GmbHBEWAG Netz GmbHTU Wien – EEG + Institut für Computertechnik
• Project Type Industrial Research (IF)
• Project Costs ca. 3,2 Mio € (Total Costs >4.5 Mio €)• Requested Grant ca. 2,2 Mio €• Additional funding Land Oberösterreich: 1 Mio €
Land Salzburg: up to 0,3 Mio €
• Project run time 36 months, Start 03/2011 8
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System Architecture
DC Data ConcentratorAGW AMIS GatewaySM Smart MeterLSD Load SwitchCS Charging StationINV PV InverterNVN Low Voltage NetworkMVN Medium Voltage Network
MVN LV Grid Controller / DC
LVNLVN Loop
Local control loop
SM
AGWCS
LS
INVAGW
=~
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Related Projects
DG DemoNet – Smart LV Grid
smart planning, monitoring, management and control approaches for the system integration of local energy production and flexible loads (e.g.
heat, e-mobility) in low voltage networks
ISOLVES:PSSA-M
Detailed characterisation and modelling of LV networksData and basis for network simulationsNetwork models (4 wire, unbalance…)
Project Chain DG DemoNet
Design and field test of voltage control concepts for medium voltage networks with
high share of distributed generation
MetaPV and MorePV2Grid
Local voltage control (droop control) concepts for PV inverter in areas with high
share of PV
Vehicle2Grid Strategies
Simulation of e-mobility integration in MV and LV networks and analyses of
the influence
Fenix, ZUQDE
Centralized control concepts for HV/MV networks; state estimation in MV
networks – load modeling
Consumer2Grid, Building2Grid
Costumer integration and participation
OPEN NODE
Development of an ICT hardware (bases for future functionalities) for intelligent secondary substations
DG DemoNet Smart LV Grid – Field Tests
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Field test areaLow voltage grid section
Photovoltaicon every 2nd roof
e-vehicelsin every 2nd garage
validation of solutions for future problems
Smart LV Grid ConceptsSmart planning, monitoring, control approaches
Field test regions and focus
• Oberösterreich: Energie AG OÖ Netz GmbH– Use case "smart sensing and coordinated generation
control“ - testing of the control- and monitoring solutions in a grid with high penetration of PV based on smart metering communication infrastructure
– Eberstalzell (in Upper Austria): appr. 70 PV units in total appr. 400 kW
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Field test regions and focus
• Salzburg: Salzburg Netz GmbH– Use case "smart sensoring and coordinated load control“ -
examination of effectivity of the control- and monitoring solutions in a grid with high penetration of PV linked with a high penetration of electric vehicles
– Köstendorf (in Salzburg): appr. 35 PV units in total appr. 125 kW and appr. 30 e-vehicles with home charging stations
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Field test regions and focus
• Oberösterreich: Linz AG– Use case "intelligent planning and smart monitoring“
- verification of the probabilistic planning method by measurements in a grid with high penetration of PV
– network area is not selected yet (2 candidates close to Linz): appr. 15 PV units in total appr. 70 kW
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First Results
• 2 Field test regions selected– Köstendorf in Salzburg– Eberstalzell in Upper Austria– 2 potential LV network areas close to Linz (under discussion)
• Overall control concept and system architecture finalized
• Co-Simulation of communication network and power network as development environment is tested
• Next steps:– PV and e-mobility Roll-Out in the field test regions– Clarifying and definition of all necessary communication interfaces– Detailed designed of the control concepts
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Cost Allocation
• Smart Metering Infrastructure (PLC vs. IP based)– Power Line Carrier (PLC) Technology– Transactions Server– Data Concentrator– Load Switch– AMIS Gateway– Additional Functionalities (for network monitoring)
• Low Voltage Grid Controller (LVGC)• OLTC Secondary Substation Transformer (Prototype)• PV Inverters• Charging Stations• Communication Interfaces (LVGC, Transformer, Inverter, Charging
Station…)• Costs for additional space (e.g. OLTC needs more space)
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Cost Allocation
• Infrastructure investments to increase DER hosting capacity for avoiding or delaying grid reinforcement (mainly network driven)
vs.
• Additional investments to enable new services, markets and business models (mainly market driven)
• Who is going to finance investments in order to enable new services, markets and business models?
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Experiences from Medium Voltage Network Projects
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Objective of DG DemoNet Validation
Objective:
Development, planning, implementation and demonstration of voltage control concepts allowing a cost-effective integration of very high shares of distributed generation in medium voltage networks,
• maintaining a high level of quality of supply
• achieving economic benefits in comparison to network reinforcement
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Project chain - DG DemoNet
BAVIS
110/30 kV
110 kV
30 kV
DG1
DG4
DG5
DG6
DG2
DG3
DG1
110/30 kV
110 kV
30 kV
DG1
DG4
DG5
DG6
DG2
DG3
DG1
M1
M2
M3
CVCU
110/30 kV
110 kV
30 kV
DG1
DG4
DG5
DG6
DG2
DG3
DG1
M1
M2
M3
CVCU
Design of voltage control concepts to increase the hosting capacity of networks,
Technical and economical assessement
Improvement of concepts, advanced planning tools
Development, field test, analysis and validation – proof of concept
110 kV grid
New DG - plants
Hydro
H1
H2
H3
H4
H5
H6
H7
H8
H9H10
H11
H12
H13
Photovoltaic
P1
P3
P2
P4
Other
O1
O2
O3
DG2
DG13
DG7
DG8
DG12
DG11DG10
DG6
DG5
DG3DG4
DG1
DG9
L108
L4
L88
Load nodes
110 kV grid
New DG - plants
Hydro
H1
H2
H3
H4
H5
H6
H7
H8
H9H10
H11
H12
H13
Photovoltaic
P1
P3
P2
P4
Other
O1
O2
O3
DG2
DG13
DG7
DG8
DG12
DG11DG10
DG6
DG5
DG3DG4
DG1
DG9
L108
L4
L88
Load nodes
U-Regelung ToolboxU-Regelung Toolbox
t
U
t
U
t
U
t
U
Influence of distributed generation on the paramater of
power quality
Technical Investigations (Case Study 1)
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100%
15%
30%
70% 30% Einsparung
70% Einsparung
85% Einsparung
Smart Grid FallstudieEnergieAG Netz
Smart Grid FallstudieSalzburg Netz GmbH
Smart Grid FallstudieVKW - Netz AG
KonventionelleNetzverstärkung (BAU =
Business as Usual)
Kostenanteile und Einsparungen in Bezug zu konventioneller Netzverstärkung
High economical advantages are expected
Network reinforcement
(reference scenario)
Case Study Vorarlberg
Case Study Salzburg
Case Study Upper Austria
Costs and cost reductions compared to the reference scenario network reinforcement
Cost Red.
Cost Red.
Cost Red.
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Smart Grids R&D and Deployment
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Smart Grids R&D and Deployment
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Concept Development
&Methods and
Tools
Industrial Research
&Experimental Development
Field Tests&
DemonstratorsDeployment
Research
Network Operators
Industry
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Conclusions
Conclusions
Smart Grid is not a single technology system approach
Smart Grid is a evolutionary process
Smart Grid deployment is not a sequential process
Do not base deployment costs on full engineering costs
Cost for increased hosting capacity vs. cost for additional services
Thus at the moment it is difficult to determine actual costs for a smart grid deployment
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Acknowledgment
All presented projects are financed by the Austrian climate and energy fund
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AIT Austrian Institute of Technologyyour ingenious partner
Helfried Brunner
Energy Department
Electric Energy SystemsAIT Austrian Institute of Technology
Österreichisches Forschungs- und Prüfzentrum Arsenal Ges.m.b.H.
Giefinggasse 2 | 1210 Vienna | Austria
T +43(0) 50550- 6283 | F +43(0) 50550-6390
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