Optimization of a power-grid islanding algorithm using Monte Carlo simulations

ORAL

Abstract

The purposeful partitioning of a utility system to limit the cascading disturbances is called intelligent intentional islanding. Spectral matrix methods for intelligent intentional islanding of power grids may produce unbalanced clusters of generators and loads when applied recursively. While some of the resulting clusters have surplus generating capacity, others are deficient. To limit cascading power failures by isolating highly connected islands, which are also self-sufficient communities, we use a spectral partitioning algorithm followed by a Monte Carlo optimization procedure to load-balance the communities and increase their internal connectivity or modularity. The resulting network of clusters is treated as a new network and the same spectral and MC procedures are iteratively applied to combine smaller clusters or communities into bigger ones. We show here that the use of this method results in well balanced, internally connected clusters.

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Authors

  • Ibrahim Abou Hamad

    Florida State University

  • Svetlana Poroseva

    University of New Mexico

  • Andrew Polemi

    Utah State University, Brigham Young University, University of Pennsylvania, Lawrence Livermore National Laboratory, Los Alamos National Laboratory, High Altitude Observatory, University of Colorado at Boulder, Massachutes Institute of Technology, Utah Valley University, University of New Hampshire, Applied Physics Laboratory, Johns Hopkins University, University of Montana, Southwest Research Institute, University of Southern California, Lockheed Martin Advanced Technology Center, University of Chicago, Massachusetts Institute of Technology, SciPrint.org, Centre National de la Recherche Scientifique, Colorado State University, V. Alecsandri College, Bacau, Romania, Colorado School of Mines, National Renewable Energy Laboratory, Utah State University, Department of Physics, Brigham Young University, Provo, Huntsman Cancer Institute, Brigham Young University - Idaho, University of Arizona, Florida State University, Weber State University, Brigham Young University - Provo, New Mexico State University, Colorado State University, Fort Collins, CO 80523

  • Per Arne Rikvold

    Florida State University