Developing a dynamic model of cascading failure for high performance computing using trilinos

  • Authors:
  • Christopher Parmer;Eduardo Cotilla-Sanchez;Heidi K. Thornquist;Paul D.H. Hines

  • Affiliations:
  • McGill University, Montreal, PQ, Canada;The University of Vermont, Burlington, VT, USA;Sandia National Laboratories, Albuquerque, NM, USA;The University of Vermont, Burlington, VT, USA

  • Venue:
  • Proceedings of the first international workshop on High performance computing, networking and analytics for the power grid
  • Year:
  • 2011

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Abstract

This paper describes work-in-progress toward the development of a dynamic model of cascading failure in power systems that is suitable for High Performance Computing simulation environments. Doing so involves simulating a power grid as a set of differential, algebraic and discrete equations. We describe the general form of the algorithm in use for this simulation and provide details about the implementation using the Trilinos software libraries. Several computational tests illustrate how the proposed approach can be leveraged to optimize the computational efficiency of cascading failure simulation.