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Issue No. 07 - July (2012 vol. 23)
ISSN: 1045-9219
pp: 1255-1266
Vahid Jalili-Marandi , OPAL-RT Technologies Inc., Montreal
Zhiyin Zhou , University of Alberta, Edmonton
Venkata Dinavahi , University of Alberta, Edmonton
This paper proposes large-scale transient stability simulation based on the massively parallel architecture of multiple graphics processing units (GPUs). A robust and efficient instantaneous relaxation (IR)-based parallel processing technique which features implicit integration, full Newton iteration, and sparse LU-based linear solver is used to run the multiple GPUs simultaneously. This implementation highlights the combination of coarse-grained algorithm-level parallelism with fine-grained data-parallelism of the GPUs to accelerate large-scale transient stability simulation. Multithreaded parallel programming makes the entire implementation highly transparent, scalable, and efficient. Several large test systems are used for the simulation with a maximum size of 9,984 buses and 2,560 synchronous generators all modeled in detail resulting in matrices that are larger than 20\hbox{,}000\times 20\hbox{,}000.
Graphics processors, instantaneous relaxation, large-scale systems, multiple GPUs, Newton-Raphson method, parallel multithreaded programming, power system simulation, power system transient stability, sparse direct solvers.
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