Microgrid disaster resiliency analysis: Reducing costs in continuity of operations (COOP) planning

Robert K. Abercrombie, T. Benjamin Ollis, Frederick T. Sheldon, Ananth A. Jillepalli

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The electric grid serves a vital role in the supply chain of nearly all industrial and commercial organizations. A Microgrid infrastructure can provide this service and beneficial non-emergency services including a variety of generation/energy sources. To demonstrate the applicability of microgrids for energy resiliency, we present a microgrid resiliency case study for United Parcel Service's (UPS) three separate shipping facilities. The goal, to enhance energy security, minimize cost and prevent cascading losses within other related business units. The impacts and consequences of which are quantified in this study using a Mean Failure Cost (MFC) risk assessment measure. MFC accounts for the potential loses to identified stakeholders that may result from a set of identified failures due to a set of identified threats. In this case, our study uses a method we call All Hazards Econometric System (AHES). AHES incorporates the cost of COOP using a strategy that considers the payback period of microgrid installation as compared to other energy delivery strategies.

Original languageEnglish
Title of host publicationProceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019
EditorsTung X. Bui
PublisherIEEE Computer Society
Pages3532-3541
Number of pages10
ISBN (Electronic)9780998133126
StatePublished - 2019
Event52nd Annual Hawaii International Conference on System Sciences, HICSS 2019 - Maui, United States
Duration: Jan 8 2019Jan 11 2019

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2019-January
ISSN (Print)1530-1605

Conference

Conference52nd Annual Hawaii International Conference on System Sciences, HICSS 2019
Country/TerritoryUnited States
CityMaui
Period01/8/1901/11/19

Funding

This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). This study was sponsored by U.S. Department of Energy (DOE) Grid Modernization Initiative (GMI) as a U.S. DOE Grid Modernization Laboratory Consortium (GMLC) Award. This work was supported by a grant from DOE. We derived the AHES methodology from CSES (as the basis) to track many facets of the cause/loss-impact to operations. In this way, COOP planners determined the primary operational weaknesses and could prioritize course of action based on the cost of mitigation (i.e., hardening solutions) and the prospect of ROI. The artifacts of this investigation will be useful on an ongoing basis for assessment and risk abatement. This study was sponsored by U.S. Department of Energy (DOE) Grid Modernization Initiative (GMI) as a U.S. DOE Grid Modernization Laboratory Consortium (GMLC) Award.

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