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Heuristic for Dispatching of Seasonal Hydro Storage Power Plants - Case Study Switzerland

Zimmermann, Florian ORCID iD icon; Keles, Dogan; Fichtner, Wolf ORCID iD icon

Abstract (englisch):

In Switzerland, generation capacity is dominated by nuclear power plants with an installed capacity of 3.3 GW and hydro power plants with a total capacity of 16.1 GW by a maximal demand of over 9.2 GW (by 2016). The majority of the installed hydro capacity are seasonal storages with 8.7 GW (by 2017) together with a maximum storage capacity of 8’800 GWh (by 2017, this value also includes the pump storage). This figures indicate that hydro power plants need to be modelled in the energy system models appropriately particularly for Switzerland. However, by applying complex models considering multiple market areas, computing time plays a crucial role. In order to reduce computing time, heuristics are often used instead of optimization methods. There are already existing heuristics for hydro pumped storage. To the best knowledge of the authors, there are no appropriate heuristic for hydro seasonal storage power plants.

For this purpose a multi stage heuristic for dispatching seasonal hydro storage power plants is developed. First, a preliminary dispatch of the seasonal hydro power plants is determined based on the residual load, the historical production volume and the storage level. ... mehr

Zugehörige Institution(en) am KIT Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Publikationstyp Vortrag
Publikationsjahr 2018
Sprache Englisch
Identifikator KITopen-ID: 1000089181
HGF-Programm 37.06.01 (POF III, LK 01) Networks and Storage Integration
Veranstaltung 29th European Conference on Operational Research (EURO 2018), Valencia, Spanien, 08.07.2018 – 11.07.2018
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