Two-Stage Heuristic Approach for Solving the Long-Term Unit Commitment Problem with Hydro-Thermal Coordination
Alexander Franz (),
Julia Rieck and
Jürgen Zimmermann
Additional contact information
Alexander Franz: Clausthal University of Technology
Julia Rieck: Clausthal University of Technology
Jürgen Zimmermann: Clausthal University of Technology
A chapter in Operations Research Proceedings 2015, 2017, pp 667-673 from Springer
Abstract:
Abstract In the last decade the share of renewable feed-in increased sharply. More than 25 % of the gross electricity consumption in Germany is typically covered by renewable sources. Despite the positive effects, e.g., low marginal costs and a sustainable electricity supply with less emissions, a generation portfolio should also contain thermal power plants as well as energy storages, mainly hydro storages, to guarantee a long-term security of electricity supply. The problem of flexible coordination and dispatch of thermal power plants and hydro storages in order to meet the highly volatile residual demand (energy demand minus the volatile feed-in of renewables) becomes even more challenging for generating companies. Therefore, we present a new two-stage heuristic approach for solving the resulting long-term unit commitment problem with hydro-thermal coordination (UCP-HT), where system operating costs have to be minimized. Within a comprehensive performance analysis, the results of the approach are compared to near-optimal solutions obtained by CPLEX on the basis of a tight mixed-integer linear formulation for the UCP-HT. In particular, well-known instances from the literature with real-world energy demands, a planning horizon of one year, and hourly time steps are solved within minutes ensuring a solution gap of less than 1 %.
Keywords: Planning Horizon; Thermal Power Plant; Residual Demand; Thermal Plant; Unit Commitment Problem (search for similar items in EconPapers)
Date: 2017
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:978-3-319-42902-1_90
Ordering information: This item can be ordered from
http://www.springer.com/9783319429021
DOI: 10.1007/978-3-319-42902-1_90
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 ().