Day-ahead electricity market bidding for a cascaded reservoir system: A stochastic programming approach
In this thesis a stochastic model for bid optimization and short-term production
scheduling has been implemented and tested trough a simulation
procedure run over a longer period of time for a complex real-life river system.
The same simulation procedure is also implemented for a multi scenario
deterministic heuristic similar to what is used in the industry, and the results
are compared. The comparison show that the stochastic model gives signi-
cant improvements in terms of higher obtained average price and higher total
value than the equivalent deterministic model.
Place, publisher, year, edition, pages
Institutt for industriell økonomi og teknologiledelse , 2013. , 107 p.
IdentifiersURN: urn:nbn:no:ntnu:diva-24831Local ID: ntnudaim:9084OAI: oai:DiVA.org:ntnu-24831DiVA: diva2:722314
Fleten, Stein-Erik, Professor