A Parallel Hybrid Method for Fast Analysis of Power System Dynamics

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. As a first step, mathematical models of power system components are described for representing the dynamic behavior of the system. New models of renewable energy sources -- solar photovoltaic and wind power -- are described for the functional representation of grid integrated distributed generation in system stability analysis. A phasor time-domain computational method is then presented for analyzing network dynamics in the electromechanical transient phenomena. In this case, a method is described for the conventional balanced transients' analysis and extended to a new method that includes analysis of unbalanced transients. To address the complexity in the analysis of large networks, a parallelization approach is proposed for the time-domain computations. For this, a grid partitioning strategy is presented for dividing ...

KIT-Bibliothek, Karlsruhe

2021-01-13

doc-type:doctoralThesis ; Text ; info:eu-repo/semantics/doctoralThesis ; dissertation ; info:eu-repo/semantics/publishedVersion ; [Doctoral and postdoctoral thesis]

eng

Power Systems ; Transient Stability Analysis ; Grid Partitioning ; Parallel Computing ; Direct-Methods ; Time-Domain Simulations ; ddc:004 ; DATA processing & computer science ; info:eu-repo/classification/ddc/004

004 Data processing & computer science ; 620 Engineering & allied operations (computed) ; 621 Applied physics (computed)

KITopen License, https://publikationen.bibliothek.kit.edu/kitopen-lizenz ; info:eu-repo/semantics/openAccess

https://publikationen.bibliothek.kit.edu/1000128495
https://publikationen.bibliothek.kit.edu/1000128495/100023640
https://doi.org/10.5445/IR/1000128495

KITopen (Karlsruher Institut für Technologie)
Further nameKITopen (Karlsruhe Institute of Technologie)  

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