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Two-Stage Parallel Waveform Relaxation Method for Large-Scale Power System Transient Stability Simulation
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DOI：10.1109/TPWRS.2015.2388856.png)
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摘要
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This work presents a parallel transient stability simulation based on waveform relaxation for large-scale power systems. A power system described by large-scale differential-algebraic equations (DAE) is decomposed into several subsystems by a partitioning algorithm based on epsilon decomposition. The method adopts preconditioning and waveform prediction to accelerate convergence of the system. Moreover, a two-stage parallel strategy based on OpenMP further improves parallel efficiency. All subsystems are solved using a very dishonest Newton (VDHN) method combined with an iteration method based on Adomian decomposition independently after the state variables are discretized by implicit-trapezoidal rule. Finally, two large-scale test cases with detailed dynamic models verify the proposed algorithm. The computational results show that the proposed waveform relaxation method achieves high parallel efficiency.
Keyword:
Adomian decomposition
epsilon decomposition
OpenMP
transient stability
waveform relaxation
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7.2
论文数:
1.1W
被引数:
5.0W
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