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    Observability Analysis in Water Transport Networks: Algebraic Approach

    Source: Journal of Water Resources Planning and Management:;2016:;Volume ( 142 ):;issue: 004
    Author:
    Sarai Díaz
    ,
    Javier González
    ,
    Roberto Mínguez
    DOI: 10.1061/(ASCE)WR.1943-5452.0000621
    Publisher: American Society of Civil Engineers
    Abstract: State estimation (SE) techniques are being applied to different network systems in order to convert system measurements into real information about the network state. SE applications to water systems are relatively novel, but these techniques have been implemented in other fields for decades. In those applications, observability analysis (OA) is required prior to application of SE techniques with different purposes: (1) to identify redundant information, (2) to detect elements that make no contribution in the subsequent SE process, or (3) to identify observable islands. However, no discussion has been found in the pertinent literature regarding any interest in applying OA to water networks, with there being only a few basic applications. The aim of this paper is twofold: first, to present the implementation of a novel algebraic OA approach to water networks, which is based on the application of a Gauss elimination technique to the measurement Jacobian matrix, and to discuss and justify the interesting aspects of implementing an OA in water transport networks (WTN) prior to using SE while also presenting the issues that this technique may resolve. The results obtained highlight the algorithm potential for real supply systems, improving the knowledge of what information provided by supervisory control and data acquisition (SCADA) systems is really worth compiling.
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      Observability Analysis in Water Transport Networks: Algebraic Approach

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4244855
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    contributor authorSarai Díaz
    contributor authorJavier González
    contributor authorRoberto Mínguez
    date accessioned2017-12-30T13:02:20Z
    date available2017-12-30T13:02:20Z
    date issued2016
    identifier other%28ASCE%29WR.1943-5452.0000621.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4244855
    description abstractState estimation (SE) techniques are being applied to different network systems in order to convert system measurements into real information about the network state. SE applications to water systems are relatively novel, but these techniques have been implemented in other fields for decades. In those applications, observability analysis (OA) is required prior to application of SE techniques with different purposes: (1) to identify redundant information, (2) to detect elements that make no contribution in the subsequent SE process, or (3) to identify observable islands. However, no discussion has been found in the pertinent literature regarding any interest in applying OA to water networks, with there being only a few basic applications. The aim of this paper is twofold: first, to present the implementation of a novel algebraic OA approach to water networks, which is based on the application of a Gauss elimination technique to the measurement Jacobian matrix, and to discuss and justify the interesting aspects of implementing an OA in water transport networks (WTN) prior to using SE while also presenting the issues that this technique may resolve. The results obtained highlight the algorithm potential for real supply systems, improving the knowledge of what information provided by supervisory control and data acquisition (SCADA) systems is really worth compiling.
    publisherAmerican Society of Civil Engineers
    titleObservability Analysis in Water Transport Networks: Algebraic Approach
    typeJournal Paper
    journal volume142
    journal issue4
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/(ASCE)WR.1943-5452.0000621
    page04015071
    treeJournal of Water Resources Planning and Management:;2016:;Volume ( 142 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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