Parallel Computation of Large Power System Network Solutions Using the Multi-Area Thevenin Equivalents (MATE) Algorithm
نویسندگان
چکیده
An implementation of the Multi-Area Thévenin Equivalents (MATE) partitioning framework for the parallel solution of large power system matrices is described in this paper. The solution of the Western Electricity Coordinating Council system (∼15,000 buses) obtained using both traditional sparsity techniques and MATE were compared. The MATE algorithm achieved speedups of up to 7 times with respect to a well-known sparse linear system solver. This result demostrates MATE’s potential to improve the efficiency of Transient Stability Assessment tools, which are integral parts of state-of-the-art Energy Management Systems Theoretical background in addition to implementational approach, results, as well as limitations of the MATE algorithm are disscussed.
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