SUPWIND

(Decision Support for Large Scale Integration of Wind Power)
 
Contact:Carlo Obersteiner
Project Team:Hans Auer, Carlo Obersteiner, Christian Redl
 
Begin:
Oct 2006
Duration:
36 months
Status:
finished
 
Consortium:
University of Duisburg-Essen, EWL
University of Stuttgart, IER
Energinet.dk
Risoe-DTU
Hellenic Transmission System Operator (HTSO)
 
Homepage: supwind.risoe.dk
 
 

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 update: 2009-12-16

back »