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A comprehensive modelling framework for demand side flexibility in smart grids

Barth, Lukas 1; Ludwig, Nicole 2; Mengelkamp, Esther 3; Staudt, Philipp 3
1 Institut für Theoretische Informatik (ITI), Karlsruher Institut für Technologie (KIT)
2 Institut für Angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)
3 Karlsruher Institut für Technologie (KIT)

Abstract:

The increasing share of renewable energy generation in the electricity system comes with significant challenges, such as the volatility of renewable energy sources. To tackle those challenges, demand side management is a frequently mentioned remedy. However, measures of demand side management need a high level of exibility to be successful. Although extensive research exists that describes, models and optimises various processes with exible electrical demands, there is no unified notation. Additionally, most descriptions are very process-specific and cannot be generalised. In this paper, we develop a comprehensive modelling framework to mathematically describe demand side exibility in smart grids while integrating a majority of constraints from different existing models. We provide a universally applicable modelling framework for demand side exibility and evaluate its practicality by looking at how well Mixed-Integer Linear Program (MIP) solvers are able to optimise the resulting models, if applied to artificially generated instances. From the evaluation, we derive that our model improves the performance of previous models while integrating additional exibility characteristics.


Postprint §
DOI: 10.5445/IR/1000075353
Veröffentlicht am 23.04.2018
Originalveröffentlichung
DOI: 10.1007/s00450-017-0343-x
Scopus
Zitationen: 30
Dimensions
Zitationen: 32
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik (IAI)
Fakultät für Wirtschaftswissenschaften – Institut für Informationswirtschaft und Marketing (IISM)
Institut für Theoretische Informatik (ITI)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 02.2018
Sprache Englisch
Identifikator ISSN: 1865-2034, 1865-2042, 0178-3564, 0949-2925
urn:nbn:de:swb:90-753530
KITopen-ID: 1000075353
HGF-Programm 37.06.01 (POF III, LK 01) Networks and Storage Integration
Erschienen in Computer science - research and development
Verlag Springer Verlag
Band 33
Heft 1-2
Seiten 13-23
Bemerkung zur Veröffentlichung Special Issue Paper
Vorab online veröffentlicht am 30.08.2017
Schlagwörter demand side management, exibility scheduling, process modelling, smart grids
Nachgewiesen in Dimensions
Scopus
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