Applying Reduced Generator Models in the Coarse Solver of Parareal in Time Parallel Power System Simulation

Conference · Fri Jan 01 00:00:00 EST 2016

DOI:https://doi.org/10.1109/ISGTEurope.2016.7856184· OSTI ID:1344997

Duan, Nan ^[1]; Dimitrovski, Aleksandar D ^[1]; Simunovic, Srdjan ^[1]; Sun, Kai ^[2]

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1. ORNL
2. University of Tennessee (UT)

The development of high-performance computing techniques and platforms has provided many opportunities for real-time or even faster-than-real-time implementation of power system simulations. One approach uses the Parareal in time framework. The Parareal algorithm has shown promising theoretical simulation speedups by temporal decomposing a simulation run into a coarse simulation on the entire simulation interval and fine simulations on sequential sub-intervals linked through the coarse simulation. However, it has been found that the time cost of the coarse solver needs to be reduced to fully exploit the potentials of the Parareal algorithm. This paper studies a Parareal implementation using reduced generator models for the coarse solver and reports the testing results on the IEEE 39-bus system and a 327-generator 2383-bus Polish system model.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1344997
• Resource Relation: Conference: IEEE Power & Energy Society Innovative Smart Grid Technologies Europe, Ljubljana, Slovenia, 20161009, 20161012
• Country of Publication: United States
• Language: English

Related Subjects

High-performance computing
parallel algorithms
Parareal in time
power system dynamics
transient stability