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    Optimizing the Reliability and Performance of Remote Vehicle to Grid Systems Using a Minimal Set of Metrics

    Source: Journal of Energy Resources Technology:;2015:;volume( 137 ):;issue: 004::page 41204
    Author:
    Skowronska, Annette G.
    ,
    Gorsich, David J.
    ,
    Pandey, Vijitashwa
    ,
    Mourelatos, Zissimos P.
    DOI: 10.1115/1.4030317
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Vehicles connected to electric systems are considered “pluginâ€‌ vehicles. They can be an integral part of a microgrid. Ground vehicles have become more electrified over time, providing electrical power for the propulsion system (hybrid) and a complex suite of auxiliary power systems, enhancing their use in microgrids. Optimizing the microgrid system for performance and reliability considering many external loads and sources is a challenging problem. This is especially true when the plugin vehicles may enter and leave the microgrid randomly becoming either sources or loads. The microgrid is a repairable system. Recent work has shown that multiple metrics are needed to fully account for the performance of repairable systems under uncertainty. In this paper, we propose a decisionbased framework to design and maintain repairable systems for optimal performance and reliability using a set of metrics such as minimum failure free period (MFFP), number of failures in planning horizon, and cost. Optimal tradeoffs among a minimal set of metrics (MSOM) can be used in the design and maintenance of these systems. The optimal solution includes the initial design, the system maintenance throughout the planning horizon, and the protocol to operate the system. Critical remote military installations with plugin vehicles connected to the microgrids require careful consideration of cost and repair strategies because of logistical challenges in performing repairs and supplying necessary spare parts in unsafe locations. We show how a MSOM helps to solve the complex optimization problem of finding the best microgrid power management strategy considering performance, reliability, and cost.
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      Optimizing the Reliability and Performance of Remote Vehicle to Grid Systems Using a Minimal Set of Metrics

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    http://yetl.yabesh.ir/yetl1/handle/yetl/157786
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    contributor authorSkowronska, Annette G.
    contributor authorGorsich, David J.
    contributor authorPandey, Vijitashwa
    contributor authorMourelatos, Zissimos P.
    date accessioned2017-05-09T01:17:16Z
    date available2017-05-09T01:17:16Z
    date issued2015
    identifier issn0195-0738
    identifier otherjert_137_04_041204.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/157786
    description abstractVehicles connected to electric systems are considered “pluginâ€‌ vehicles. They can be an integral part of a microgrid. Ground vehicles have become more electrified over time, providing electrical power for the propulsion system (hybrid) and a complex suite of auxiliary power systems, enhancing their use in microgrids. Optimizing the microgrid system for performance and reliability considering many external loads and sources is a challenging problem. This is especially true when the plugin vehicles may enter and leave the microgrid randomly becoming either sources or loads. The microgrid is a repairable system. Recent work has shown that multiple metrics are needed to fully account for the performance of repairable systems under uncertainty. In this paper, we propose a decisionbased framework to design and maintain repairable systems for optimal performance and reliability using a set of metrics such as minimum failure free period (MFFP), number of failures in planning horizon, and cost. Optimal tradeoffs among a minimal set of metrics (MSOM) can be used in the design and maintenance of these systems. The optimal solution includes the initial design, the system maintenance throughout the planning horizon, and the protocol to operate the system. Critical remote military installations with plugin vehicles connected to the microgrids require careful consideration of cost and repair strategies because of logistical challenges in performing repairs and supplying necessary spare parts in unsafe locations. We show how a MSOM helps to solve the complex optimization problem of finding the best microgrid power management strategy considering performance, reliability, and cost.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleOptimizing the Reliability and Performance of Remote Vehicle to Grid Systems Using a Minimal Set of Metrics
    typeJournal Paper
    journal volume137
    journal issue4
    journal titleJournal of Energy Resources Technology
    identifier doi10.1115/1.4030317
    journal fristpage41204
    journal lastpage41204
    identifier eissn1528-8994
    treeJournal of Energy Resources Technology:;2015:;volume( 137 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian