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dc.contributor.advisorMohagheghi, Salman
dc.contributor.authorJavanbakht, Pirooz
dc.date.accessioned2007-01-03T07:14:57Z
dc.date.accessioned2022-02-03T12:52:40Z
dc.date.available2007-01-03T07:14:57Z
dc.date.available2022-02-03T12:52:40Z
dc.date.issued2015
dc.identifierT 7768
dc.identifier.urihttps://hdl.handle.net/11124/17126
dc.description2015 Spring.
dc.descriptionIncludes illustrations (some color).
dc.descriptionIncludes bibliographical references (pages 131-140).
dc.description.abstractNatural disasters have been considered as one of the main causes of the largest blackouts in North America. When it comes to power grid resiliency against natural hazards, different solutions exist that are mainly categorized based on the time-frame of analysis. At the design stage, robustness and resiliency may be improved through redundant designs and inclusion of advanced measurement, monitoring, control and protection systems. However, since massive destructive energy may be released during the course of a natural disaster (such as a hurricane) causing large-scale and widespread disturbances, design-stage remedies may not be sufficient for ensuring power grid robustness. As a result, to limit the consequent impacts on the operation of the power grid, the system operator may be forced to take immediate remedial actions in real-time. To effectively manage the disturbances caused by severe weather events, weather forecast information should be incorporated into the operational model of the power grid in order to predict imminent contingencies. In this work, a weather-driven generation dispatch model is developed based on stochastic programming to provide a proactive solution for power grid resiliency against imminent large-scale disturbances. Hurricanes and ice storms are studied as example disaster events to provide numerical results. In this approach, the statistics of the natural disaster event are taken into account along with the expected impact on various power grid components in order to determine the availability of the grid. Then, a generation dispatch strategy is devised that helps operate the grid subject to weather-driven operational constraints.
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado School of Mines. Arthur Lakes Library
dc.relation.ispartof2015 - Mines Theses & Dissertations
dc.rightsCopyright of the original work is retained by the author.
dc.subject.lcshElectric power systems -- Natural disaster effects
dc.subject.lcshElectric power failures
dc.subject.lcshElectric power production
dc.subject.lcshRisk assessment
dc.subject.lcshMathematical optimization
dc.titleRisk-based generation dispatch in the power grid for resilience against extreme weather events
dc.typeText
dc.contributor.committeememberHering, Amanda S.
dc.contributor.committeememberMoore, Kevin L., 1960-
dc.contributor.committeememberVincent, Tyrone
dc.contributor.committeememberSimões, M. Godoy
dc.contributor.committeememberRebennack, Steffen
thesis.degree.nameDoctor of Philosophy (Ph.D.)
thesis.degree.levelDoctoral
thesis.degree.disciplineElectrical Engineering and Computer Science
thesis.degree.grantorColorado School of Mines


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