Capacity Planning and Scheduling in Electrical Power Systems and in Chemical and Metallurgical Production Plants

Sebastian Engell (), Edmund Handschin (), Christian Rehtanz () and Rüdiger Schultz ()
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Sebastian Engell: Technische Universität Dortmund, Fachbereich Bio- und Chemieingenieurwesen, Lehrstuhl für Systemdynamik und Prozessführung
Edmund Handschin: Technische Universität Dortmund, Lehrstuhl für Energiesystem und Energiewirtschaft
Christian Rehtanz: Technische Universität Dortmund, Lehrstuhl für Energiesystem und Energiewirtschaft
Rüdiger Schultz: Universität Duisburg Essen, Fachbereich Mathematik

A chapter in Production Factor Mathematics, 2010, pp 279-305 from Springer

Abstract: Abstract One of the greatest challenges for humankind in the 21st century is the sustainable, economically efficient and politically fair management of the resources available on earth. It implies a shift of paradigm in all areas of public life. Traditionally, electrical power systems and chemical production plants are fields in which an optimal management of precious and limited resources is of great importance. Mathematical methods have been used for a while already to solve the complex decision problems that result in this area. Yet, by far not all problems that have occurred can be tackled in a sound manner. The growing economic and ecological pressure on the efficiency of the production and supply systems as well as stronger fluctuations of supply and demand lead to new challenges for which new mathematical methods and algorithms have to be developed.

Keywords: Stochastic Optimization; Electrical Power System; Capacity Planning; Stochastic Optimization Problem; Unit Commitment Problem (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1007/978-3-642-11248-5_15

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