Abstract
High-performance computing (HPC)-based simulation tools for large-scale power grids are important to the improvement of future energy sector resiliency and reliability. However, the application development complexity, hardware adoption, and maintenance cost with large HPC facilities have hindered the wide utilization and quick commercialization of HPC applications. This paper presents a hybrid implementation of power system dynamic simulation – a time-critical function for transient stability analysis using directive-based parallel programming models to showcase the advantage of leveraging multi-core CPU and many-core GPU computing with superior floating-point acceleration performance and cost-effective architecture to lower this barrier. Real-time modeling and simulation with least modifications on the legacy sequential program are achieved with significant speedup performances on two test cases.
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Wang, C., Jin, S., Chen, Y. (2021). Directive-Based Hybrid Parallel Power System Dynamic Simulation on Multi-core CPU and Many-Core GPU Architecture. In: Arabnia, H.R., et al. Advances in Parallel & Distributed Processing, and Applications. Transactions on Computational Science and Computational Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-030-69984-0_30
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DOI: https://doi.org/10.1007/978-3-030-69984-0_30
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