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Demand response through decentralized optimization in residential areas with wind and photovoltaics

Dengiz, Thomas; Jochem, Patrick; Fichtner, Wolf ORCID iD icon


A paradigm shift has to be realized in future energy systems with high shares of renewable energy sources. The electrical demand has to react to the fluctuating electricity generation of renewable energy sources. To this end, flexible electrical loads like electric heating devices coupled with thermal storage or electric vehicles are necessary in combination with optimization approaches. In this paper, we develop a novel privacy-preserving approach for decentralized optimization to exploit load flexibility. This approach, which is based on a set of schedules, is referred to as SEPACO-IDA. The results show that our developed algorithm outperforms the other approaches for scheduling based decentralized optimization found in the literature. Furthermore, this paper clearly illustrates the suboptimal results for uncoordinated decentralized optimization and thus the strong need for coordination approaches. Another contribution of this paper is the development and evaluation of two methods for distributing a central wind power profile to the local optimization problem of distributed agents (Equal Distribution and Score-Rank-Proportional Distribution). ... mehr

Volltext §
DOI: 10.5445/IR/1000118359
Veröffentlicht am 15.04.2020
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Publikationstyp Forschungsbericht/Preprint
Publikationsmonat/-jahr 04.2020
Sprache Englisch
Identifikator ISSN: 2196-7296
KITopen-ID: 1000118359
Verlag Karlsruher Institut für Technologie (KIT)
Serie Working Paper Series in Production and Energy ; 42
Schlagwörter Demand response, Decentralized optimization, Smart grid, Wind and PV integration, Electric heating, Electric vehicles
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