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Optimization approaches for exploiting the load flexibility of electric heating devices in smart grids

Dengiz, Thomas

Abstract (englisch):

Energy systems all over the world are undergoing a fundamental transition to tackle climate change and other environmental challenges. The share of electricity generated by renewable energy sources has been steadily increasing. In order to cope with the intermittent nature of renewable energy sources, like photovoltaic systems and wind turbines, the electrical demand has to be adjusted to their power generation. To this end, flexible electrical loads are necessary.
Moreover, optimization approaches and advanced information and communication technology can help to transform the traditional electricity grid into a smart grid.

To shift the electricity consumption in time, electric heating devices, such as heat pumps or electric water heaters, provide significant flexibility. In order to exploit this flexibility, optimization approaches for controlling flexible devices are essential. Most studies in the literature use centralized optimization or uncoordinated decentralized optimization. Centralized optimization has crucial drawbacks regarding computational complexity, privacy, and robustness, but uncoordinated decentralized optimization leads to suboptimal results. ... mehr

Volltext §
DOI: 10.5445/IR/1000131495
Veröffentlicht am 14.04.2021
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Publikationstyp Hochschulschrift
Publikationsdatum 14.04.2021
Sprache Englisch
Identifikator KITopen-ID: 1000131495
Verlag Karlsruher Institut für Technologie (KIT)
Umfang viii, 103 S.
Art der Arbeit Dissertation
Fakultät Fakultät für Wirtschaftswissenschaften (WIWI)
Institut Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Prüfungsdatum 30.06.2020
Externe Relationen Siehe auch
Siehe auch
Siehe auch
Schlagwörter Demand response, smart grids, heuristic optimization algorithms, electric heating devices
Relationen in KITopen
Referent/Betreuer Fichtner, W.
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