Fast dynamics simulation of large-scale power systems is a computational challenge because of the need to solve a large set of stiff, nonlinear differential-algebraic equations at every time step. The… Click to show full abstract
Fast dynamics simulation of large-scale power systems is a computational challenge because of the need to solve a large set of stiff, nonlinear differential-algebraic equations at every time step. The main bottleneck in dynamic simulations is the solution of a linear system during each nonlinear iteration of Newton’s method. In this paper, we present a parallel Krylov–Schwarz linear solution scheme that uses the Krylov subspace-based iterative linear solver GMRES with an overlapping restricted additive Schwarz preconditioner. Performance tests of the proposed Krylov–Schwarz scheme for several large test cases ranging from 2000 to 20000 buses, including a real utility network, show good scalability on different computing architectures.
               
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