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High-Performance Computing-Based Open-Source Power Transmission and Distribution Grid Co-Simulation
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DOI：10.1109/TPWRS.2023.3349200.png)
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Abstract
En 中文
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.
Keywords:
Power system dynamics
Parallel processing
Load modeling
Computational modeling
Heuristic algorithms
Synchronization
Scalability
High-performance computing
co-simulation
power system simulation
integrated transmission and distribution system
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