Download AP4: Konzeption, Design, Debugging der - E

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

IEEE 1355 wikipedia , lookup

Airborne Networking wikipedia , lookup

Network tap wikipedia , lookup

List of wireless community networks by region wikipedia , lookup

Transcript
DG DemoNet Smart LV Grid
Increasing 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
2
AIT Austrian Institute of Technology
3
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)
4
AIT Energy Department
5
Project DG DemoNet Smart LV Grid
6
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
7
Overview
•
•
Applicant
Partner
Austrian Institute of Technology
Siemens AG Österreich
Fronius International GmbH
Energie AG Oberösterreich Netz GmbH
Salzburg Netz GmbH
Linz Strom Netz GmbH
BEWAG Netz GmbH
TU Wien – EEG + Institut für Computertechnik
•
Project Type
Industrial Research (IF)
•
•
•
Project Costs
Requested Grant
Additional funding
ca. 3,2 Mio € (Total Costs >4.5 Mio €)
ca. 2,2 Mio €
Land Oberösterreich: 1 Mio €
Land Salzburg: up to 0,3 Mio €
•
Project run time
36 months, Start 03/2011
8
Approach
9
System Architecture
MVN
LV Grid Controller / DC
LVN
LVN Loop
SM
AGW
AGW
LS
INV
~
=
CS
DC
AGW
SM
LSD
CS
INV
NVN
MVN
Data Concentrator
AMIS Gateway
Smart Meter
Load Switch
Charging Station
PV Inverter
Low Voltage Network
Medium Voltage Network
Local control loop
10
Related Projects
ISOLVES:PSSA-M
Project Chain DG DemoNet
Detailed characterisation and modelling of LV networks
Data and basis for network simulations
Network models (4 wire, unbalance…)
MetaPV and MorePV2Grid
Design and field test of voltage control
concepts for medium voltage networks with
high share of distributed generation
Local voltage control (droop control)
concepts for PV inverter in areas with high
share of PV
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
Fenix, ZUQDE
Centralized control concepts for HV/MV
networks; state estimation in MV
networks – load modeling
Vehicle2Grid Strategies
Simulation of e-mobility integration in
MV and LV networks and analyses of
the influence
Consumer2Grid,
Building2Grid
Costumer integration and participation
OPEN NODE
Development of an ICT hardware
(bases for future functionalities) for
intelligent secondary substations
11
DG DemoNet Smart LV Grid –
Field Tests
Smart LV Grid Concepts
Smart planning, monitoring, control approaches
Photovoltaic
on every 2nd roof
Field test area
e-vehicels
Low voltage grid section
in every 2nd garage
validation of solutions for future problems
12
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
13
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
14
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
15
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
16
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)
17
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?
18
Experiences from Medium Voltage Network Projects
19
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
20
Project chain - DG DemoNet
Influence of distributed
generation on the paramater of
power quality
BAVIS
U
P3
L4
DG12
DG11
DG10
DG9
P4
Hydro
Photovoltaic
Other
New DG - plants
Load nodes
H5
DG8
O3
110 kV
DG6
110 kV
H6
110 kV
O2
DG5
110/30 kV
CVCU
DG13
DG3
DG4
110/30 kV
30 kV
DG7
t
L108
30 kV
H7
110/30 kV
CVCU
DG2
30 kV
DG1
H4
H8
P2
H3
M2
O1
M2
H10
DG4
H9
DG4
DG4
P1
H11
L88
DG1
DG5
U-Regelung Toolbox
110 kV
grid
H2
DG1
DG5
H12
H13
DG1
DG5
DG1
DG1
DG1
DG6
DG2
DG6
U
DG2
DG6
M1
M3
M1
DG3
H1
DG2
M3
DG3
DG3
Design of voltage control concepts to
increase the hosting capacity of networks,
Technical and economical assessement
t
Improvement of concepts, advanced
planning tools
Development, field test, analysis and validation – proof of
concept
Technical Investigations (Case Study 1)
22
High economical advantages are expected
Konventionelle
Network
reinforcement
100%
Netzverstärkung (BAU =
(reference
scenario)
Business as
Usual)
Case
Study
Vorarlberg
Smart
Grid Fallstudie
15%
Cost Red.
85% Einsparung
VKW - Netz AG
Smart Study
Grid Fallstudie
Case
Salzburg
Cost Red.
70% Einsparung
30%
Salzburg Netz GmbH
Fallstudie
Case Smart
StudyGrid
Upper
Austria
70%
Cost Red.
30% Einsparung
EnergieAG Netz
Kostenanteile
und
Einsparungen
in Bezugtozu
Netzverstärkung
Costs and
cost
reductions compared
thekonventioneller
reference scenario
network reinforcement
23
Smart Grids R&D and Deployment
24
Smart Grids R&D and Deployment
25
Conclusions
26
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
27
Acknowledgment
 All presented projects are financed by the Austrian climate and
energy fund
28
AIT Austrian Institute of Technology
your ingenious partner
Helfried Brunner
Energy Department
Electric Energy Systems
AIT 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
[email protected] | http://www.ait.ac.at