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Reliability and Optimal Operation of...

Skowronska, Annette Gabriela.

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Reliability and Optimal Operation of Repairable Systems with Application to a Smart Charging Microgrid with Vehicle-to-Grid Capability.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Reliability and Optimal Operation of Repairable Systems with Application to a Smart Charging Microgrid with Vehicle-to-Grid Capability./
Author:	Skowronska, Annette Gabriela.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:	231 p.
Notes:	Source: Dissertations Abstracts International, Volume: 81-09, Section: A.
Contained By:	Dissertations Abstracts International81-09A.
Subject:	Mechanical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27548667
ISBN:	9781392535479

Reliability and Optimal Operation of Repairable Systems with Application to a Smart Charging Microgrid with Vehicle-to-Grid Capability.
Skowronska, Annette Gabriela.

Reliability and Optimal Operation of Repairable Systems with Application to a Smart Charging Microgrid with Vehicle-to-Grid Capability. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 231 p.

Source: Dissertations Abstracts International, Volume: 81-09, Section: A.

Thesis (Ph.D.)--Oakland University, 2019.

This item must not be sold to any third party vendors.

The area of optimizing the performance and reliability of mobile power networks such as microgrids is a complex and new area of research with many unsolved problems. The technology is new, and there are technical challenges to keeping the microgrids not only optimized but also operational. There are many basic research challenges in the power management of microgrids. Basic questions are how to balance the demand and supply of the grid. It is difficult primarily because of the variability of power sources, which can come from a distributed network of solar cells, fuel cells, wind turbines, generators, vehicles, and a variety of other new technologies that generate different amounts of power based on weather and environmental conditions. The load also changes as different components come on and off the grid. There are also basic questions on the business case of the enduring costs of the microgrid, and the overall reliability of hardware and how that affects maintenance costs. The main focus of this research is to determine a framework for answering some of these questions and optimizing the system under all sources of variability. The theory of repairable systems was applied to perform a time-based reliability analysis to identify all factors that affect the reliability and operational readiness of a mobile power network and establish appropriate metrics. A flexible adaptable design approach was taken to predict the uncertainty using autoregressive models such that a non-sorting genetic algorithm optimizer can identify the best parameters to manage the system for minimizing cost and simultaneously maximizing reliability over time.

ISBN: 9781392535479Subjects--Topical Terms:

649730
Mechanical engineering.
Subjects--Index Terms:

flexible design

Reliability and Optimal Operation of Repairable Systems with Application to a Smart Charging Microgrid with Vehicle-to-Grid Capability.
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520 $a The area of optimizing the performance and reliability of mobile power networks such as microgrids is a complex and new area of research with many unsolved problems. The technology is new, and there are technical challenges to keeping the microgrids not only optimized but also operational. There are many basic research challenges in the power management of microgrids. Basic questions are how to balance the demand and supply of the grid. It is difficult primarily because of the variability of power sources, which can come from a distributed network of solar cells, fuel cells, wind turbines, generators, vehicles, and a variety of other new technologies that generate different amounts of power based on weather and environmental conditions. The load also changes as different components come on and off the grid. There are also basic questions on the business case of the enduring costs of the microgrid, and the overall reliability of hardware and how that affects maintenance costs. The main focus of this research is to determine a framework for answering some of these questions and optimizing the system under all sources of variability. The theory of repairable systems was applied to perform a time-based reliability analysis to identify all factors that affect the reliability and operational readiness of a mobile power network and establish appropriate metrics. A flexible adaptable design approach was taken to predict the uncertainty using autoregressive models such that a non-sorting genetic algorithm optimizer can identify the best parameters to manage the system for minimizing cost and simultaneously maximizing reliability over time.
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