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Flexibility control in autonomous demand response by optimal power tracking

  • In the regime of incentive-based autonomous demand response, time dependent prices are typically used to serve as signals from a system operator to consumers. However, this approach has been shown to be problematic from various perspectives. We clarify these shortcomings in a geometric way and thereby motivate the use of power signals instead of price signals. The main contribution of this paper consists of demonstrating in a standard setting that power tracking signals can control flexibilities more efficiently than real-time price signals. For comparison by simulation, German renewable energy production and German standard load profiles are used for daily production and demand profiles, respectively. As for flexibility, an energy storage system with realistic efficiencies is considered. Most critically, the new approach is able to induce consumptions on the demand side that real-time pricing is unable to induce. Moreover, the pricing approach is outperformed with regards to imbalance energy, peak consumption, storage variation, and storage losses without the need for additional communication or computation efforts. It is further shown that the advantages of the optimal power tracking approach compared to the pricing approach increase with the extent of the flexibility. The results indicate that autonomous flexibility control by optimal power tracking is able to integrate renewable energy production efficiently, has additional benefits, and the potential for enhancements. The latter include data uncertainties, systems of flexibilities, and economic implementation.

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Metadaten
Author:Klaus RheinbergerORCiD, Peter KepplingerORCiD, Markus PreißingerORCiD
DOI:https://doi.org/10.3390/en14123568
ISSN:1996-1073
Parent Title (English):Energies
Document Type:Article
Language:English
Year of publication:2021
Release Date:2021/06/23
Tag:Autonomous optimization; Demand response; Energy storage; Power tracking; Real-time pricing
Volume:14. Jg.
Issue:H. 12
Article Number:3568
Number of pages:14
Organisationseinheit:Forschung / Forschungszentrum Energie
DDC classes:600 Technik, Medizin, angewandte Wissenschaften
JEL-Classification:C Mathematical and Quantitative Methods
Open Access?:ja
Peer review:wiss. Beitrag, peer-reviewed
Publicationlist:Rheinberger, Klaus
Kepplinger, Peter
Preißinger, Markus
Licence (German):License LogoCreative Commons - CC BY - International - Attribution- Namensnennung 4.0