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Scalable Multi-Period AC Optimal Power Flow Utilizing GPUs with High Memory Capacities

By Sungho Shin and others
This paper demonstrates the scalability of open-source GPU-accelerated nonlinear programming (NLP) frameworks -- ExaModels.jl and MadNLP.jl -- for solving multi-period alternating current (AC) optimal power flow (OPF) problems on GPUs with high memory capacities (e.g., NVIDIA GH200 with 480 GB of unified memory). There has been a growing interest in... Show more
May 22, 2024
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Scalable Multi-Period AC Optimal Power Flow Utilizing GPUs with High Memory Capacities
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