Preprints Details


Ser.   504
Title   Stochastic Optimization of Electricity Portfolios: Scenario Tree Modeling and Risk Management
Abstract   We present recent developments in the field of stochastic programming with regard to application in power management. In particular we discuss issues of scenario tree modeling, i.e., appropriate discrete approximations of the underlying stochastic parameters. Moreover, we suggest risk avoidance strategies via the incorporation of so-called polyhedral risk functionals into stochastic programs. This approach, motivated through tractability of the resulting problems, is a constructive framework providing particular flexibility with respect to the dynamic aspects of risk.
Author(s)   Andreas Eichhorn, Holger Heitsch, Werner Römisch
PS-File   EichHeiRoemPSH.ps
PDF-File   EichHeiRoemPSH.pdf
Reviewing Referee   Prof. Dr. Fredi Tröltzsch
Projects   C7
   
 
   
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