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Location Analytics for Smart-Grid Re...

Sultan, Vivian.

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Location Analytics for Smart-Grid Reliability.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Location Analytics for Smart-Grid Reliability./
Author:	Sultan, Vivian.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	450 p.
Notes:	Source: Dissertations Abstracts International, Volume: 80-07, Section: B.
Contained By:	Dissertations Abstracts International80-07B.
Subject:	Information Technology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13422690
ISBN:	9780438764026

Location Analytics for Smart-Grid Reliability.
Sultan, Vivian.

Location Analytics for Smart-Grid Reliability. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 450 p.

Source: Dissertations Abstracts International, Volume: 80-07, Section: B.

Thesis (Ph.D.)--The Claremont Graduate University, 2018.

This item must not be added to any third party search indexes.

Analytics have been a popular topic in research and practice, particularly in the energy field. The use of analytics can help advance smart-grid reliability by, for example, elucidating a root cause of power failure, defining a solution for a blackout through data, or implementing a solution with continuous monitoring and management. This dissertation, guided by the design-science-research methodology, attempts to unveil the novel use of location analytics in enhancing smart-grid reliability. The dissertation is organized as follows: (a) a systematic literature review of smart-grid-reliability research is presented, (b) a spatially enhanced analytical model for power outages is developed, and (c) a prototype of a geographic-information-system application is developed to identify optimal locations for smart-grid interventions (e.g., automated distribution switches, or batteries) considering the many operating parameters, various outage scenarios, and the potential benefits to the smart grid. A general discussion, based on the research findings, limitations, and needs for future research is offered in the conclusion section.

ISBN: 9780438764026Subjects--Topical Terms:

1030799
Information Technology.

Location Analytics for Smart-Grid Reliability.
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500 $a Source: Dissertations Abstracts International, Volume: 80-07, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
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502 $a Thesis (Ph.D.)--The Claremont Graduate University, 2018.
506 $a This item must not be added to any third party search indexes.
506 $a This item must not be sold to any third party vendors.
520 $a Analytics have been a popular topic in research and practice, particularly in the energy field. The use of analytics can help advance smart-grid reliability by, for example, elucidating a root cause of power failure, defining a solution for a blackout through data, or implementing a solution with continuous monitoring and management. This dissertation, guided by the design-science-research methodology, attempts to unveil the novel use of location analytics in enhancing smart-grid reliability. The dissertation is organized as follows: (a) a systematic literature review of smart-grid-reliability research is presented, (b) a spatially enhanced analytical model for power outages is developed, and (c) a prototype of a geographic-information-system application is developed to identify optimal locations for smart-grid interventions (e.g., automated distribution switches, or batteries) considering the many operating parameters, various outage scenarios, and the potential benefits to the smart grid. A general discussion, based on the research findings, limitations, and needs for future research is offered in the conclusion section.
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