Abstract:
Parallel processing to obtain time domain simulation of power system dynamic behavior has been studied for over a decade. In this paper, a parallel across space implement...Show MoreMetadata
Abstract:
Parallel processing to obtain time domain simulation of power system dynamic behavior has been studied for over a decade. In this paper, a parallel across space implementation of a waveform relaxation (WR) based algorithm is presented. The algorithm can take full advantage of the inherent properties of power systems, such as coherency grouping and localized fault response, thus significantly speeding up the simulations. In the proposed implementation, a system is broken up into several subsystems based on its coherency, and then each processor is devoted to the computation of the waveform of each subsystem. This is the first time the WR algorithm has been implemented on a parallel machine (sequent symmetry S81) and tested on large power systems. The numerical results show very promising performance compared with the commonly used very dishonest Newton algorithm, with overall speedups of up to 27 obtained for a 2500-bus system using 20 processors.
Published in: IEEE Transactions on Power Systems ( Volume: 12, Issue: 3, August 1997)
DOI: 10.1109/59.630443
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- IEEE Keywords
- Index Terms
- Waveform ,
- Transient Stability ,
- Shared Memory ,
- Transient Stability Problem ,
- Power System ,
- Large Systems ,
- Parallel Machines ,
- Large Power Systems ,
- Differential Equations ,
- State Variables ,
- Parallelization ,
- Integration Method ,
- Adaptive Approach ,
- Subsequent Iterations ,
- Parallel Algorithm ,
- Parallel Implementation ,
- Single Processor ,
- Differential-algebraic Equations ,
- Numerical Integration Method ,
- Variable Step Size
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Waveform ,
- Transient Stability ,
- Shared Memory ,
- Transient Stability Problem ,
- Power System ,
- Large Systems ,
- Parallel Machines ,
- Large Power Systems ,
- Differential Equations ,
- State Variables ,
- Parallelization ,
- Integration Method ,
- Adaptive Approach ,
- Subsequent Iterations ,
- Parallel Algorithm ,
- Parallel Implementation ,
- Single Processor ,
- Differential-algebraic Equations ,
- Numerical Integration Method ,
- Variable Step Size