Improvements to the Co-simulation Interface for Geographically Distributed Real-time Simulation

Conference Paper (2019)
Author(s)

S. Vogel (RWTH Aachen University)

Vetrivel Subramaniam Rajkumar (TU Delft - Intelligent Electrical Power Grids)

Ha Thi Nguyen (Technical University of Denmark (DTU))

M. Stevic (RWTH Aachen University)

Rishabh Bhandia (TU Delft - Intelligent Electrical Power Grids)

Kai Heussen (Technical University of Denmark (DTU))

Peter Palensky (TU Delft - Intelligent Electrical Power Grids)

Antonello Monti (RWTH Aachen University, University of South Carolina)

Research Group
Intelligent Electrical Power Grids
Copyright
© 2019 S. Vogel, Vetrivel Subramaniam Rajkumar, Ha Thi Nguyen, M. Stevic, R. Bhandia, Kai Heussen, P. Palensky, Antonello Monti
DOI related publication
https://doi.org/10.1109/IECON.2019.8926918
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 S. Vogel, Vetrivel Subramaniam Rajkumar, Ha Thi Nguyen, M. Stevic, R. Bhandia, Kai Heussen, P. Palensky, Antonello Monti
Research Group
Intelligent Electrical Power Grids
Pages (from-to)
6655-6662
ISBN (print)
978-1-7281-4879-3
ISBN (electronic)
978-1-7281-4878-6
Reuse Rights

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Abstract

As future power systems become increasingly complex and interconnected to other energy carriers, a single research infrastructure can rarely provide the required test-beds to study a complete energy system, especially if different types of real power hardware are expected to be in-the-loop. Therefore, virtual interconnection of laboratories for large-scale systems plays an important role for geographically distributed realtime simulation. This paper presents the improvements made in simulation fidelity as well as usability for establishing future simulator and laboratory connections. A general procedure is proposed and analyzed for geographically distributed real-time simulation, which allows users easily to adapt this procedure to specific test cases. A systematic and comprehensive analysis of a dynamic phasor based co-simulation interface algorithm and its improvements are provided to demonstrate the advantages as well as limitations of this approach.

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