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dc.contributor.advisorPablo Dueñas Martinez and José Ignacio Perez Arriaga.en_US
dc.contributor.authorToregozhina, Aizhanen_US
dc.contributor.otherTechnology and Policy Program.en_US
dc.coverage.spatialn-usn--en_US
dc.date.accessioned2016-10-14T15:54:21Z
dc.date.available2016-10-14T15:54:21Z
dc.date.copyright2016en_US
dc.date.issued2016en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/104823
dc.descriptionThesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, 2016.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages [61]-[65]).en_US
dc.description.abstractAccording to the Presidential Policy Directive 21, the natural gas and the power systems should be able to recover quickly following a disaster and also be able to anticipate high-impact, low-probability events, rapidly recover, and absorb lessons for adapting its operation and structure for preventing or mitigating the impact of similar events in the future. All of this brings in a growing need for resiliency as the natural gas and electricity systems need to have robust recovery strategies in the face of physical, environmental, cybernetic, security or societal threats. The importance of gas and electricity system resilience increases even further, as the interdependency of the two sectors deepens, especially here in New England, where natural gas now accounts for 50% of region's total power plant capacity. In this thesis, a mixed integer linear programming (MILP) model of integrated gas and electricity system is used to do contingency analysis and determine components of both systems that are critical to improve resilience. The model's main contribution is that it represents gas dynamics accurately. Using this model, we looked at several threats at the junction of gas and electricity systems. Based on the model results, higher line-pack, and pressures, as well as additional compressor capacity investments, were shown to improve system resiliency. The model could be used as a decision support tool for policy-makers to do contingency analysis of gas-electricity systems.en_US
dc.description.statementofresponsibilityby Aizhan Toregozhina.en_US
dc.format.extent60 pages, 5 unnumbered pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectInstitute for Data, Systems, and Society.en_US
dc.subjectEngineering Systems Division.en_US
dc.subjectTechnology and Policy Program.en_US
dc.titleResiliency of interdependent gas and electricity systems : the New England caseen_US
dc.typeThesisen_US
dc.description.degreeS.M. in Technology and Policyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Society
dc.contributor.departmentTechnology and Policy Program
dc.identifier.oclc959235027en_US


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