Improving the Convergence Rate of Parareal-in-time Power System Simulation using the Krylov Subspace

Conference · Wed Aug 01 00:00:00 EDT 2018 · IEEE Power & Energy Society General Meeting (Online)

DOI:https://doi.org/10.1109/PESGM.2018.8586354· OSTI ID:1474621

Duan, Nan ^[1]; Simunovic, Srdjan  ^[2]; Dimitrovski, Aleksandar ^[3]; Sun, Kai ^[4]

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1. University of Tennessee, Knoxville (UTK)
2. ORNL
3. University of Central Florida, Orlando
4. University of Tennessee (UT)

The performance of parareal-in-time algorithms is determined on the number of sequential, coarse step iterations. A common tradeoff in designing an efficient parareal-in-time algorithm is between accuracy of the coarse solver and the number of iterations. Traditional parareal implementation for the power system simulation can also have difficulties handling complex power systems. In this paper, we propose a Krylov subspace enhanced parareal algorithm to reduce the number of coarse iterations. The proposed approach is demonstrated on a single-machine-infinite-bus system and the IEEE 10-machine 39-bus system. Noticeable decrease of number of iterations is observed in both cases.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Office of Electricity (OE)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1474621
• Journal Information: IEEE Power & Energy Society General Meeting (Online), Vol. 2018; Conference: The 2018 IEEE Power & Energy Society (PES) General Meeting, Portland, OR (United States), 5-10 Aug 2018; ISSN 1944-9933
• Publisher: IEEE
• Country of Publication: United States
• Language: English