SUPWIND

  • Finished
  • Started: Oct 2006
  • Ended: Oct 2009
  • Website: http://supwind.risoe.dk/
  • Together with
    • Energinet.dk,
    • University of Duisburg-Essen, EWL,
    • University of Stuttgart, IER,
    • Risoe-DTU,
    • Hellenic Transmission System Operator (HTSO)

Members

Priv.-Doz. Dipl.-Ing. Dr. Hans Auer
Dipl.-Ing. Dr. Carlo Obersteiner
Dipl.-Ing. Dr. Christian Redl

Project description

SUPWIND

(Decision Support for Large Scale Integration of Wind Power) is a

research project supported by the

European Commission under

the Sixth Framework

Programme.

Contract No.

TREN/05/FP6EN/S07.61830/020158 SUPWIND.

The

project has the following objectives:

 

  • Demonstrate the applicability of decision support tools based on stochastic analysis and programming for operational management of grids and power plants.

  • Demonstrate the applicability of strategic analysis tools for decision support for long-term management of grids.

  • Detailed analysis of improved coordination mechanisms between grid operators, power plant operators, power exchanges etc.

Based on the planning tool developed in the

WILMAR project, a set of

tools is developed which support Transmission System Operators (TSOs)

and other stakeholders in their operational and strategic decision

making related to the integration of high shares of wind or other

fluctuating renewables.

More specifically the evaluation of regional and trans-national

transmission line investments caused by large scale introduction of wind

power will be analysed in detail. However the strategic issues at hand

can only be addressed adequately, if a good understanding of the

operational management of grids with high wind energy penetration is

achieved. Therefore the project simultaneously aims at the demonstrating

the applicability of tools for the operational management of grids and

power plants under large scale wind power generation and corresponding

tools for strategic analysis. In the operational management the

inclusion and use of online wind-power data is a particular focus. By

also including load uncertainty and stochastic outages, the operational

tools will be able to estimate the need for power reserves in the system

as a function of the precision of the wind power forecast and load

forecast and the probability of outages. This will enable transmission

system operators responsible for securing power reserves to optimise the

reservation of power reserves and correspondingly minimise the costs

connected to the reservation of power reserves.

Project coordinator:   

Prof. Dr. Christoph Weber

- Chair for Energy Management, University

of Duisburg-Essen.

Last updated: 16 Dec 2009