Stochasctic programming: Optimisation of hydroelectric power plants; stages and scenarios – University of Copenhagen

Forward this page to a friend Resize Print kalender-ikon Bookmark and Share

Department of Mathematical Sciences > Calendar > Events > Stochasctic programmin...

Stochasctic programming: Optimisation of hydroelectric power plants; stages and scenarios

Specialeforsvar ved Lasse Baggesgaard

Titel: Stochasctic programming: Optimisation of hydroelectric power plants; stages and scenarios

Abstract: This thesis concerns the optimisation of production plans for hydroelectric power plants through stochastic programming models. The main focus is to propose a linear stochastic programming model capable of calculating an optimised production plan for a given day, taking into concern the uncertainty of future prices. The model is then investigated to determine a reasonable balancing between the time horizon of the model and the number of possible outcomes of future prices, the number of stages and scenarios of the model. A number of case studies is made to clarify the effects of changing these parameters. To round up the thesis the results are compared and discussed

 

Vejleder: Trine Krogh Boomsma
Censor:   Oli B.G. Madsen, DTU