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dc.contributor.advisorJin, Tongdan
dc.contributor.authorKumaravelan, Priyadharshini ( Orcid Icon 0000-0001-7239-9661 )
dc.date.accessioned2019-12-02T16:45:04Z
dc.date.available2019-12-02T16:45:04Z
dc.date.issued2019-12
dc.identifier.citationKumaravelan, P. (2019). Modeling power grid recovery and resilience post extreme weather events (Unpublished thesis). Texas State University, San Marcos, Texas.
dc.identifier.urihttps://digital.library.txstate.edu/handle/10877/8973
dc.description.abstractThe traditional N-1 power grid system is inadequate as it cannot withstand extreme weather events like hurricane, flooding, earthquake etc. Extreme event analysis reports by NERC, BPU, and ERCOT state that failure of outdoor grid components like distribution lines, transformers and generators lead to majority of the power outages where millions of customers get affected. This research addresses the problem of power grid resilience post an extreme weather event and how the grid recovery can be planned and executed. We propose a repair and recovery model for transmission lines for the case of Hurricane Harvey and analyze how the repair rate and the failure rate affect various performance metrics. We analyze how electric vehicles (EV) can be used as a potential alternative to build resilience of a power system in contingency. A mathematical model is developed for the EV battery swap process and the minimum spare battery requirement is analyzed for various scenarios. We present a Vehicle-to-Grid (V2G) based resilience model for critical loads like manufacturing facility during an extreme event. The main goal of this model is to determine the sizing and siting of the wind- and solar-based microgrid to ensure power resilience through island operations. Through this model, we analyze how the number of EVs, battery capacities, industrial production loss and the V2G service cost affect the levelized cost of energy (LCOE) in extreme weather condition.
dc.formatText
dc.format.extent113 pages
dc.format.medium1 file (.pdf)
dc.language.isoen_US
dc.subjectPower resilience
dc.subjectIsland microgrid
dc.subjectExtreme weather
dc.subjectWehicle-to-grid operation
dc.subjectBattery swap
dc.subjectProsumer energy transaction
dc.subjectMarkovian model
dc.subjectQueueing theory
dc.titleModeling Power Grid Recovery and Resilience Post Extreme Weather Events
txstate.documenttypeThesis
dc.contributor.committeeMemberNovoa, Clara
dc.contributor.committeeMemberKonur, Dincer
thesis.degree.departmentEngineering
thesis.degree.disciplineEngineering
thesis.degree.grantorTexas State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
txstate.departmentIngram School of Engineering


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