<?xml version="1.0" encoding="utf-8"?>
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  <doc>
    <id>286</id>
    <completedYear>2019</completedYear>
    <publishedYear/>
    <thesisYearAccepted>2021</thesisYearAccepted>
    <language>eng</language>
    <pageFirst>128</pageFirst>
    <pageLast>152</pageLast>
    <pageNumber>25</pageNumber>
    <edition/>
    <issue>2</issue>
    <volume>78</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2019-11-12</completedDate>
    <publishedDate>2019-11-12</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Deciding Feasibility of a Booking in the European Gas Market on a Cycle is in P for the Case of Passive Networks</title>
    <abstract language="eng">We show that the feasibility of a booking in the European entry-exit gas market can be decided in polynomial time on single-cycle networks that are passive, i.e., do not contain controllable elements. The feasibility of a booking can be characterized by solving polynomially many nonlinear potential-based flow models for computing so-called potential-difference maximizing load flow scenarios. We thus analyze the structure of these models and exploit both the cyclic graph structure as well as specific properties of potential-based flows. This enables us to solve the decision variant of the nonlinear potential-difference maximization by reducing it to a system of polynomials of constant dimension that is independent of the cycle's size. This system of fixed dimension can be handled with tools from real algebraic geometry to derive a polynomial-time algorithm. The characterization in terms of potential-difference maximizing load flow scenarios then leads to a polynomial-time algorithm for deciding the feasibility of a booking. Our theoretical results extend the existing knowledge about the complexity of deciding the feasibility of bookings from trees to single-cycle networks.</abstract>
    <parentTitle language="deu">Networks</parentTitle>
    <identifier type="doi">10.1007/s00186-021-00752-y</identifier>
    <enrichment key="SubmissionStatus">Published</enrichment>
    <enrichment key="review.accepted_by">2</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Martine Labbé</author>
    <author>Fränk Plein</author>
    <author>Martin Schmidt</author>
    <author>Johannes Thürauf</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Gas networks</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>European entry-exit market</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Bookings</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Potential-based flows</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Computational complexity</value>
    </subject>
    <collection role="institutes" number="">Friedrich-Alexander-Universität Erlangen-Nürnberg</collection>
    <collection role="subprojects" number="">A05</collection>
    <collection role="subprojects" number="">B07</collection>
    <collection role="subprojects" number="">Z01</collection>
    <collection role="subprojects" number="">B08</collection>
    <collection role="institutes" number="">Universität Trier</collection>
    <collection role="institutes" number="">Université libre de Bruxelles</collection>
    <file>https://opus4.kobv.de/opus4-trr154/files/286/preprint-version-2020-11-20.pdf</file>
  </doc>
</export-example>
