Development of Power System Models for Distributed Real-Time Simulations

This paper proposes a general methodology for the development of power system models suitable for distributed real-time simulations (D-RTS) based on topology, simulator interfaces and data exchange. D-RTS have risen as functional alternatives that can combine remote and multi-vendor resources for la...

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Bibliographic Details
Published in:IEEE access 2022, Vol.10, p.1-1
Main Authors: Shen, Zhiwei, Arrano-Vargas, Felipe, Wickramasinghe, Harith R., Konstantinou, Georgios
Format: Article
Language:English
Subjects:
Co-simulation
Computational modeling
Data exchange
Data models
Delays
distributed real-time simulation (D-RTS)
geographically distributed real-time simulation (GD-RTS)
Mathematical models
Methodology
Power systems
Real time
real-time simulation (RTS)
Real-time systems
Simulation
Simulators
Synchronism
Test stands
Topology
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Summary:This paper proposes a general methodology for the development of power system models suitable for distributed real-time simulations (D-RTS) based on topology, simulator interfaces and data exchange. D-RTS have risen as functional alternatives that can combine remote and multi-vendor resources for large-scale power system simulations via a virtual connection. However, previous work focused on combination of separate models and not the performance of D-RTS when splitting a single monolithic model, failing to study the behaviors of D-RTS, including, synchronization and accuracy. The proposed methodology is used to develop distributed models of two widely used testbed large power systems, the IEEE Australian Benchmark model and the IEEE 300-Bus system. These testbeds are selected as they can be simulated as both monolithic and distributed models in available simulators in order to validate both the methodology and resulting model performance. The obtained results and comparison between monolithic and distributed models support the proposed approach and demonstrate the performance of D-RTS under both steady-state and transient operations in multiple scenarios.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2022.3216596