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Adaptive droop control strategy for Flywheel Energy Storage Systems: A Power Hardware-in-the-Loop validation

Karrari, Shahab 1; Carne, Giovanni ORCID iD icon 1; Noe, Mathias ORCID iD icon 1
1 Institut für Technische Physik (ITEP), Karlsruher Institut für Technologie (KIT)

Abstract:

Low-inertia power systems can suffer from high rates of change of frequency during imbalances between the generation and the demand. Fast-reacting storage systems such as a Flywheel Energy Storage System (FESS) can help maintain the frequency by quickly reacting to frequency disturbances, with no concern over its lifetime. While a modern high-speed FESS has a significantly higher energy density than the conventional low-speed ones, the capacity of this storage technology is still limited. Therefore, this paper proposes a new adaptive droop controller for a FESS, considering the practical advantages and also limitations of this storage technology. The proposed controller increases the contribution of the FESS for frequency support during the first instances of a disturbance, while it reduces its output when the frequency is recovering. To verify the advantages of the proposed control strategy, the controller is implemented on a real 60 kW high-speed FESS using the concept of rapid control prototyping. Next, the performance of the FESS with the new controller is tested using Power Hardware-in-the-Loop simulations in a low-voltage microgrid. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000149310
Veröffentlicht am 01.08.2022
Originalveröffentlichung
DOI: 10.1016/j.epsr.2022.108300
Scopus
Zitationen: 8
Web of Science
Zitationen: 6
Dimensions
Zitationen: 9
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Technische Physik (ITEP)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 11.2022
Sprache Englisch
Identifikator ISSN: 0378-7796
KITopen-ID: 1000149310
HGF-Programm 37.12.03 (POF IV, LK 01) Smart Areas and Research Platforms
Erschienen in Electric Power Systems Research
Verlag Elsevier
Band 212
Seiten Art.-Nr.: 108300
Nachgewiesen in Dimensions
Web of Science
Scopus
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