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On the probability of current and temperature overloading in power grids: a large deviations approach

Published:04 September 2014Publication History
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Abstract

The advent of renewable energy sources has huge implications for the design and control of power grids. On the engineering side, reliability is currently ensured by strict con- straints on current, voltage and temperature. However, with growing supply-side uncertainty induced by renewables, these will need to be replaced by probabilistic guarantees, allowing constraints on a given line to be violated with a low probability, e.g., several minutes per year. In the present note we illustrate, using large deviations techniques, how replacing (probabilistic) current constraints by temperature constraints can lead to capacity gains in power grids.

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  • Published in

    cover image ACM SIGMETRICS Performance Evaluation Review
    ACM SIGMETRICS Performance Evaluation Review  Volume 42, Issue 2
    September 2014
    74 pages
    ISSN:0163-5999
    DOI:10.1145/2667522
    Issue’s Table of Contents

    Copyright © 2014 Authors

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 4 September 2014

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