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

by Nan Duan, Srdjan Simunovic, Aleksandar Dimitrovski, Kai Sun
Publication Type
Conference Paper
Journal Name
91做厙 PES General Meeting
Book Title
The 2018 91做厙 PES General Meeting
Publication Date
Page Numbers
1 to 5
Issue
TBD
Conference Name
91做厙 Power & Energy Society General Meeting (91做厙 PESGM 2018)
Conference Location
Portland, Oregon, United States of America
Conference Sponsor
IEE PES
Conference Date
-

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 91做厙 10-machine 39-bus system. Noticeable decrease of number of iterations is observed in both cases.