Network flow and copper plate relaxations for AC transmission systems

Carleton Coffrin*, Hassan Hijazi, Pascal Van Hentenryck

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    27 Citations (Scopus)

    Abstract

    Convex relaxations of the power flow equations and, in particular, the Semi-Definite Programming (SDP), Convex Quadratic (QC), and Second-Order Cone (SOC) relaxations, have attracted significant interest in recent years. Thus far, little attention has been given to simpler linear relaxations of the power flow equations, which may bring significant performance gains at the cost of bounding strength. To fill the gap, this paper develops two intuitive linear relaxations of the power flow equations, one based on classic network flow models (NF) and another inspired by copper plate approximations (CP). Theoretical results show that the proposed NF model is a relaxation of the established nonlinear SOC model and the CP model is a relaxation of the NF model. An experimental study on 94 real-world test cases demonstrates that the linear relaxations are very fast and only reduce the bounding strength by a few percent. Consequently, considering the linear NF and CP relaxations alongside established relaxations (SDP, QC, SOC) provides a rich variety of tradeoffs between relaxation strength and performance.

    Original languageEnglish
    Title of host publication19th Power Systems Computation Conference, PSCC 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9788894105124
    DOIs
    Publication statusPublished - 10 Aug 2016
    Event19th Power Systems Computation Conference, PSCC 2016 - Genova, Italy
    Duration: 20 Jun 201624 Jun 2016

    Publication series

    Name19th Power Systems Computation Conference, PSCC 2016

    Conference

    Conference19th Power Systems Computation Conference, PSCC 2016
    Country/TerritoryItaly
    CityGenova
    Period20/06/1624/06/16

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