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Study of power recoverability through optimal design of energy storage systems
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Arabzadeh Jamali, Maryam. Study of power recoverability through optimal design of energy storage systems. Retrieved from https://doi.org/doi:10.7282/t3-55n9-5c71

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TitleStudy of power recoverability through optimal design of energy storage systems
NameArabzadeh Jamali, Maryam (author); Xi, Zhimin (chair); Guo, Weihong (internal member); Jeong, Myong K. (internal member); Rutgers University; School of Graduate Studies
Date Created2019
Other Date2019-10 (degree)
SubjectIndustrial and Systems Engineering, Energy storage, Emergency power supply
Extent1 online resource (viii, 67 pages) : illustrations
DescriptionWhile electrical power has nowadays become an indispensable part of modern life, natural disasters are one of the most severe causes of power outages. Power outages could be catastrophic when they hit critical infrastructures (CIs), such as hospitals, airports and data centers resulting in cascade failures among vital services that have life-dependent functionalities. For example, we have recently seen Hurricane Irma's devastation which completely destroyed critical power infrastructure and caused one of the largest power outages in U.S. history leaving expansive regions without power for weeks. Although energy storage is widely deployed in CIs as a source of backup power during times of adverse events, e.g., taking over when blackouts occur, there have been little work done in allocating them in the systems considering resiliency scenarios. This study aims to come up with a new and unique approach to design CI systems with inherent power resiliency in order to reduce vulnerabilities, limit the consequences of failures, and reduce time to recovery for vital services. The proposed method includes:
1.Techniques for optimizing design strategies of different energy storages for post-event infrastructure recovery.
2.Increase infrastructure resilience in terms of fast recoverability for extreme events with respect to time and cost.
3.Considering uncertainty in the electrical demand load of any infrastructures after a blackout.
4.Considering uncertainty in length of power outage for capacity estimation of energy storage systems needed at the infrastructures site.
We saw that all the factors mentioned above make considerable differences as we compare the results. This method can be used to find the energy storage systems capacities needed and the optimal configuration for a specific infrastructure during power outage. Meanwhile, a time dependent model is also represented that might be critical for some facilities.
NoteM.S.
NoteIncludes bibliographical references
Genretheses, ETD graduate
Persistent URLhttps://doi.org/doi:10.7282/t3-55n9-5c71
LanguageEnglish
CollectionSchool of Graduate Studies Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
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