Large-scale transient stability simulation of electrical power systems on parallel GPUs

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 based parallel processing technique which features implicit integration, full Newton iteration, an...

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Vydáno v:2012 IEEE Power and Energy Society General Meeting s. 1 - 11
Hlavní autoři: Jalili-Marandi, V., Zhiyin Zhou, Dinavahi, V.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.07.2012
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ISBN:1467327271, 9781467327275
ISSN:1932-5517
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Abstract 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 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. Multi-threaded 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 9984 buses and 2560 synchronous generators all modeled in detail resulting in matrices that are larger than 20000×20000.
AbstractList 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 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. Multi-threaded 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 9984 buses and 2560 synchronous generators all modeled in detail resulting in matrices that are larger than 20000×20000.
Author Jalili-Marandi, V.
Zhiyin Zhou
Dinavahi, V.
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  surname: Jalili-Marandi
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  organization: OPAL-RT Technol. Inc., Montreal, QC, Canada
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  surname: Zhiyin Zhou
  fullname: Zhiyin Zhou
  email: zhiyin@ece.ualberta.ca
  organization: Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
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  surname: Dinavahi
  fullname: Dinavahi, V.
  email: dinavahi@ece.ualberta.ca
  organization: Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
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Snippet This paper proposes large-scale transient stability simulation based on the massively parallel architecture of multiple graphics processing units (GPUs). A...
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SubjectTerms Computational modeling
Graphics processing units
Graphics processors
instantaneous relaxation
large-scale systems
Mathematical model
multiple GPUs
newton-raphson method
parallel multi-threaded programming
power system simulation
Power system stability
power system transient stability
sparse direct solvers
Stability analysis
Transient analysis
Title Large-scale transient stability simulation of electrical power systems on parallel GPUs
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