Optimizing the Reliability and Performance of Remote Vehicle to Grid Systems Using a Minimal Set of MetricsSource: Journal of Energy Resources Technology:;2015:;volume( 137 ):;issue: 004::page 41204DOI: 10.1115/1.4030317Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Vehicles connected to electric systems are considered “plugin†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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contributor author | Skowronska, Annette G. | |
contributor author | Gorsich, David J. | |
contributor author | Pandey, Vijitashwa | |
contributor author | Mourelatos, Zissimos P. | |
date accessioned | 2017-05-09T01:17:16Z | |
date available | 2017-05-09T01:17:16Z | |
date issued | 2015 | |
identifier issn | 0195-0738 | |
identifier other | jert_137_04_041204.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/157786 | |
description abstract | Vehicles connected to electric systems are considered “plugin†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. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Optimizing the Reliability and Performance of Remote Vehicle to Grid Systems Using a Minimal Set of Metrics | |
type | Journal Paper | |
journal volume | 137 | |
journal issue | 4 | |
journal title | Journal of Energy Resources Technology | |
identifier doi | 10.1115/1.4030317 | |
journal fristpage | 41204 | |
journal lastpage | 41204 | |
identifier eissn | 1528-8994 | |
tree | Journal of Energy Resources Technology:;2015:;volume( 137 ):;issue: 004 | |
contenttype | Fulltext |