High-Performance Computing-Based Open-Source Power Transmission and Distribution Grid Co-Simulation

As the electric power grid becomes more and more complex due to the penetration of various distributed energy resources (DERs), co-simulation of power transmission and distribution (T&D) grid in one unified environment emerges as an effective approach to accurately account for the changes and im...

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Veröffentlicht in:IEEE transactions on power systems Jg. 39; H. 5; S. 6144 - 6153
Hauptverfasser: Zheng, Lei, Cui, Yuxin, Jin, Shuangshuang, Chen, Yousu
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.09.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:0885-8950, 1558-0679
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Zusammenfassung:As the electric power grid becomes more and more complex due to the penetration of various distributed energy resources (DERs), co-simulation of power transmission and distribution (T&D) grid in one unified environment emerges as an effective approach to accurately account for the changes and impact of DERs on the power system. Fast and scalable T&D co-simulation leveraging high-performance computing (HPC) techniques is key to the successful deployment of large-scale grid monitoring and assessment to support online operation. In this article, two open-source power grid simulators - GridPACK (for transmission grid simulation) and GridLAB-D (for distribution grid simulation) are coupled together on Hierarchical Engine for Large-scale Infrastructure Co-Simulation (HELICS) - an open-source scalable co-simulation engine, to enable fast parallel dynamic simulation in transmission grid with enriched system dynamics captured from its interconnected distribution grids that are simulated in a distributed way. Experiments on a synthetic co-simulation study comprising one 3000-bus transmission grid model with detailed generator models and various interconnected IEEE-123-node distribution systems. The results show the faster-than-real-time performance of parallel dynamic simulation for the transmission system and high scalability with multiple distribution grids when running the co-simulation on both commodity-level multi-core computers and high-end supercomputing clusters.
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ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2023.3349200