{"id":{"repo_id":"vt","oai_identifier":"oai:vtechworks.lib.vt.edu:10919/19242"},"canonical_url":"https://search.dev.ndltd.org/etd/vt/oai:vtechworks.lib.vt.edu:10919/19242","repository":{"repo_id":"vt","name":"Virginia Tech","base_url":"https://vtechworks.lib.vt.edu/oai/request"},"display":{"title":"Residential Microgrids for Disaster Recovery Operations","abstract":"The need for a continuous supply of electric power is vital to providing the basic services of modern life. The energy infrastructure that the vast majority of the world depends on, while very reliable, is also very vulnerable. This infrastructure is particularly vulnerable to disruptions caused by natural disasters. Interruptions of electric service can bring an end to virtually all the basic services that people are dependent on. Recent natural disasters have highlighted the vulnerabilities of large, economically developed, regions to disruptions to their supply of electricity. The widespread devastation from the 2011 Japanese Tsunami and Hurricane Irene in North America, have demonstrated both the vulnerability of the contemporary power grids to long term interruption of service and also the potential of microgrids to ride through these interruptions. Microgrids can be used before, during, and after a major natural disaster to supply electricity, after the main grid source has been interrupted. This thesis researches the potential of clean energy microgrids for disaster recovery. Also a model of a proposed residential microgrid for transient analysis is developed. As the world demands more energy at increasingly higher levels of reliability, the role of microgrids is expected to grow aggressively to meet these new requirements. This thesis will look at one potential application for a microgrid in a residential community for the purpose of operating in an independent island mode operation.","abstract_html":"The need for a continuous supply of electric power is vital to providing the basic services of modern life. The energy infrastructure that the vast majority of the world depends on, while very reliable, is also very vulnerable. This infrastructure is particularly vulnerable to disruptions caused by natural disasters. Interruptions of electric service can bring an end to virtually all the basic services that people are dependent on. Recent natural disasters have highlighted the vulnerabilities of large, economically developed, regions to disruptions to their supply of electricity. The widespread devastation from the 2011 Japanese Tsunami and Hurricane Irene in North America, have demonstrated both the vulnerability of the contemporary power grids to long term interruption of service and also the potential of microgrids to ride through these interruptions. Microgrids can be used before, during, and after a major natural disaster to supply electricity, after the main grid source has been interrupted. This thesis researches the potential of clean energy microgrids for disaster recovery. Also a model of a proposed residential microgrid for transient analysis is developed. As the world demands more energy at increasingly higher levels of reliability, the role of microgrids is expected to grow aggressively to meet these new requirements. This thesis will look at one potential application for a microgrid in a residential community for the purpose of operating in an independent island mode operation.","abstract_has_math":false,"creators":["Hurtt, James William"],"institution":"Virginia Tech","degree_name":"Master of Science","degree_level":"masters","degree_discipline":"Electrical Engineering","degree_department":"Electrical and Computer Engineering","school":null,"contributors":[],"advisors":[],"committee_chairs":["Mili, Lamine M."],"committee_members":["Evrenosoglu, Cansin Yaman","Lai, Jih-Sheng"],"year":2013,"date_issued":"2013-01-07","date_published":"2013-01-07","updated_at":"2026-07-24T05:56:01Z","subjects":["Microgrids","Distributed Generation","Modeling","Disaster Recovery"],"languages":[],"rights":["In Copyright"],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["vt_gsexam:125"],"render_values":[{"text":"vt_gsexam:125","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/10919/19242","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.committeechair","label":"Committee Chair","values":["Mili, Lamine M."]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Evrenosoglu, Cansin Yaman","Lai, Jih-Sheng"]},{"key":"dc:contributor.department","label":"Department","values":["Electrical and Computer Engineering"]},{"key":"dc:creator","label":"Author","values":["Hurtt, James William"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2013-02-19T22:40:07Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2013-02-19T22:40:07Z"]},{"key":"dc:date.issued","label":"Date","values":["2013-01-07"]},{"key":"dc:publisher","label":"Institution","values":["Virginia Tech"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Virginia Polytechnic Institute and State University"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Microgrids","Distributed Generation","Modeling","Disaster Recovery"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["In Copyright"]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["vt_gsexam:125"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10919/19242"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The need for a continuous supply of electric power is vital to providing the basic services of modern life. The energy infrastructure that the vast majority of the world depends on, while very reliable, is also very vulnerable. This infrastructure is particularly vulnerable to disruptions caused by natural disasters. Interruptions of electric service can bring an end to virtually all the basic services that people are dependent on. Recent natural disasters have highlighted the vulnerabilities of large, economically developed, regions to disruptions to their supply of electricity. The widespread devastation from the 2011 Japanese Tsunami and Hurricane Irene in North America, have demonstrated both the vulnerability of the contemporary power grids to long term interruption of service and also the potential of microgrids to ride through these interruptions. Microgrids can be used before, during, and after a major natural disaster to supply electricity, after the main grid source has been interrupted. This thesis researches the potential of clean energy microgrids for disaster recovery. Also a model of a proposed residential microgrid for transient analysis is developed. As the world demands more energy at increasingly higher levels of reliability, the role of microgrids is expected to grow aggressively to meet these new requirements. 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