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

Approach

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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

Helfried.brunner@ait.ac.at |  http://www.ait.ac.at