Parallel Computation of Large Power System Network Solutions Using the Multi-Area Thévenin Equivalents ( MATE ) Algorithm

  title={Parallel Computation of Large Power System Network Solutions Using the Multi-Area Th{\'e}venin Equivalents ( MATE ) Algorithm},
  author={Marcelo Aroca Tomim and Jos{\'e} Ramon Mart{\'i} and Lei Wang},
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… CONTINUE READING
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