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Book chapter

WILMAR: A stochastic programming tool to analyze the large-scale integration of wind energy

In Optimization in the Energy Industry — 2009, pp. 437-460

By Weber, Christoph; Meibom, Peter1,2,3; Barth, Rüdiger; Brand, Heike

Edited by Kallrath, J.; Scheidt, M.; Pardalos, P.M.; Rebennack, S.

From

Energy Systems Analysis, Systems Analysis Division, Risø National Laboratory for Sustainable Energy, Technical University of Denmark1

Systems Analysis Division, Risø National Laboratory for Sustainable Energy, Technical University of Denmark2

Risø National Laboratory for Sustainable Energy, Technical University of Denmark3

Wind power is highly variable and partly unpredictable and therefore energy systems of the future have to cope with increased variability and stochasticity. The paper describes the use of a novel stochastic programming model to assess the impact of increased wind power generation on electricity systems.

This WILMAR model takes explicitly the stochastic behavior of wind generation and the forecast errors into account. Also a detailed modeling of power plant, grid and market characteristics is performed. WILMAR thus allows to assess the impact of increased wind generation on reserve needs and usage, power plant operation and system cost.

Language: English
Publisher: Springer
Year: 2009
Pages: 437-460
Series: Energy Systems
ISBN: 1281951064 , 3540889647 , 3540889655 , 3642100317 , 9781281951069 , 9783540889649 , 9783540889656 and 9783642100314
Types: Book chapter
DOI: 10.1007/978-3-540-88965-6_19
Keywords

Samfund og systemer

Other keywords

Electricity markets Electricity system Reserve power Stochastic programming Wind power

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