MozartV1, Istex, Corpus, bibRecord, 000065

Using Constraint Programming for Reconfiguration of Electrical Power Distribution Networks

Identifieur interne : 000065 ( Istex/Corpus ); précédent : 000064; suivant : 000066

Using Constraint Programming for Reconfiguration of Electrical Power Distribution Networks

Auteurs : Francisco Díaz ; Gustavo Gutierrez ; Alberto Olarte ; Camilo Rueda

Source :

Lecture Notes in Computer Science [ 0302-9743 ] ; 2005.

RBID : ISTEX:AB121BD32509BC56E35794AD7CEA7B848AF12314

Abstract

Abstract: The problem of reconfiguring power distribution systems to reduce power losses has been extensively studied because of its significant economic impact. A variety of approximation computational models have recently been proposed. We describe a constraint programming model for this problem, using the Mozart system. To handle real world reconfiguration systems we implemented and integrated into Mozart an efficient constraint propagation system for the real numbers. We show how the CP approach leads to a simpler model and allows more flexible control of reconfiguration parameters. We analyze the performance of our system in canonical distribution networks of up to 60 nodes. We describe how the adaptability of the Mozart search engine allows defining effective strategies for tackling a real distribution system reconfiguration of around 600 nodes.

Url:

https://api.istex.fr/document/AB121BD32509BC56E35794AD7CEA7B848AF12314/fulltext/pdf

DOI: 10.1007/978-3-540-31845-3_22

Links to Exploration step

ISTEX:AB121BD32509BC56E35794AD7CEA7B848AF12314

Le document en format XML

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<Para>The problem of reconfiguring power distribution systems to reduce power losses has been extensively studied because of its significant economic impact. A variety of approximation computational models have recently been proposed. We describe a constraint programming model for this problem, using the <Emphasis Type="Italic">Mozart</Emphasis>
 system. To handle real world reconfiguration systems we implemented and integrated into <Emphasis Type="Italic">Mozart</Emphasis>
 an efficient constraint propagation system for the real numbers. We show how the CP approach leads to a simpler model and allows more flexible control of reconfiguration parameters. We analyze the performance of our system in canonical distribution networks of up to 60 nodes. We describe how the adaptability of the <Emphasis Type="Italic">Mozart</Emphasis>
 search engine allows defining effective strategies for tackling a real distribution system reconfiguration of around 600 nodes.</Para>
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<ArticleNote Type="Misc"><SimplePara>This work was partially supported by the Colombian Institute for Science and Technology Development (Colciencias) under the CRISOL project (Contract No.298-2002).</SimplePara>
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<abstract lang="en">Abstract: The problem of reconfiguring power distribution systems to reduce power losses has been extensively studied because of its significant economic impact. A variety of approximation computational models have recently been proposed. We describe a constraint programming model for this problem, using the Mozart system. To handle real world reconfiguration systems we implemented and integrated into Mozart an efficient constraint propagation system for the real numbers. We show how the CP approach leads to a simpler model and allows more flexible control of reconfiguration parameters. We analyze the performance of our system in canonical distribution networks of up to 60 nodes. We describe how the adaptability of the Mozart search engine allows defining effective strategies for tackling a real distribution system reconfiguration of around 600 nodes.</abstract>
<note>This work was partially supported by the Colombian Institute for Science and Technology Development (Colciencias) under the CRISOL project (Contract No.298-2002).</note>
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Using Constraint Programming for Reconfiguration of Electrical Power Distribution Networks

Using Constraint Programming for Reconfiguration of Electrical Power Distribution Networks

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