•This paper demonstrates the application of a new sparse matrix solver for an existing EMT-type simulation tool (EMTP) for improving computational performance through automatic parallelization•An automatic approach is presented to permute the network A matrix into a block diagonal format. This format regroups all matrix nonzero elements into independent blocks along the diagonal. This approach does not require the user intervention and is fully automated.•The new sparse solver is applied on EMT tool (EMTP) that adopts a fully iterative solving approach of the power network. All nonlinear models are solved simultaneously using the Newton method. The iterations are essential for delivering highest accuracy, but the iterative process creates supplementary computational burden. This burden was reduced by applying parallel computation on the adopted sparse solver.•The contributions of this paper are tested on a new version of the very large scale Hydro-Quebec grid benchmark and T0 benchmark with integration of wind generation to test challenging problems related to power electronics converters.•The submitted paper was presented in IPST2017 (ID 222 in IPST2017). It is selected to be recommended for publication in the Electric Power Systems Research Journal.
Electric Power Systems Research – Elsevier
Published: Sep 1, 2018
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