A European Investment and Dispatch Model for Determining Cost Minimal Power Systems with High Shares of Renewable Energy
Angela Scholz (),
Fabian Sandau and
Carsten Pape
Additional contact information
Angela Scholz: Fraunhofer-Institut für Windenergie Und Energiesystemtechnik
Fabian Sandau: Fraunhofer-Institut für Windenergie Und Energiesystemtechnik
Carsten Pape: Fraunhofer-Institut für Windenergie Und Energiesystemtechnik
A chapter in Operations Research Proceedings 2014, 2016, pp 515-521 from Springer
Abstract:
Abstract In this paperPape, Carsten a multistage combined investment and dispatch modelSandau, Fabian for long-termScholz, Angela unit commitment problems of large-scale hydrothermal power systems is presented. It is based on a combination of a continuous and mixed integer programming algorithm as well as Lagrangian relaxation. First, the required capacities of power generation and storage units are determined by a continuous linear program (LP). Second, in an optional stage the unit commitment problem for all investigated market areas, i.e. those of Europe, is solved by a mixed integer linear program (MILP). At last, a MILP solves the same problem with a higher level of detail for a focused subarea.
Keywords: Large scale optimization; Capacity planning; Energy policy; Planning (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (1)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-319-28697-6_72
Ordering information: This item can be ordered from
http://www.springer.com/9783319286976
DOI: 10.1007/978-3-319-28697-6_72
Access Statistics for this chapter
More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().