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A Parallel Hybrid Method for Fast Analysis of Power System Dynamics

Kyesswa, Michael

Abstract (englisch):
Computational simulations are currently extensively applied for analysis of power systems in order to ensure a secure and stable operation of the network. However, the actual trend in the power system operating environment shows several transformations in the grid structure as a result of increasing operation of large interconnected networks, growth in electricity demand, and the integration of renewable energy sources in the energy transition context. Such changes directly impose additional requirements to the stability analysis process, whereby the time-domain simulations widely used for dynamic stability studies are faced with an increase in computational burden due to the increasing complexity of the system under analysis. Nevertheless, the continuous changes in the system's operating point owing to variations in operation conditions shows a need for continuous analysis during network operation. This therefore necessitates advanced methods to cope with the introduced complexity in the analysis process.

The present thesis describes a new parallel hybrid computational method for the fast analysis of power system dynamics in large networks in order to address the above mentioned challenges. ... mehr

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Volltext §
DOI: 10.5445/IR/1000128495
Veröffentlicht am 21.01.2021
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Publikationstyp Hochschulschrift
Publikationsdatum 21.01.2021
Sprache Englisch
Identifikator KITopen-ID: 1000128495
HGF-Programm 37.98.11 (POF IV, LK 01) ES 2050
Weitere HGF-Programme 37.98.11 (POF III, LK 01) ES 2050
Verlag Karlsruher Institut für Technologie (KIT)
Umfang VIII, 165 S.
Art der Arbeit Dissertation
Fakultät Fakultät für Informatik (INFORMATIK)
Institut Institut für Automation und angewandte Informatik (IAI)
Prüfungsdatum 11.12.2020
Referent/Betreuer Prof. V. Hagenmeyer
Schlagwörter Power Systems, Transient Stability Analysis, Grid Partitioning, Parallel Computing, Direct-Methods, Time-Domain Simulations
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