Title:
Electric vehicle-intelligent energy management system for frequency regulation application using a distributed, prosumer-based grid control architecture

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dc.contributor.advisor Grijalva, Santiago
dc.contributor.advisor Egerstedt, Magnus B.
dc.contributor.author Sandoval, Marcelo en_US
dc.contributor.committeeMember Miroslav Begovic
dc.contributor.department Electrical and Computer Engineering en_US
dc.date.accessioned 2013-06-15T02:58:25Z
dc.date.available 2013-06-15T02:58:25Z
dc.date.issued 2013-04-12 en_US
dc.description.abstract The world faces the unprecedented challenge of the need change to a new energy era. The introduction of distributed renewable energy and storage together with transportation electrification and deployment of electric and hybrid vehicles, allows traditional consumers to not only consume, but also to produce, or store energy. The active participation of these so called "prosumers", and their interactions may have a significant impact on the operations of the emerging smart grid. However, how these capabilities should be integrated with the overall system operation is unclear. Intelligent energy management systems give users the insight they need to make informed decisions about energy consumption. Properly implemented, intelligent energy management systems can help cut energy use, spending, and emissions. This thesis aims to develop a consumer point of view, user-friendly, intelligent energy management system that enables vehicle drivers to plan their trips, manage their battery pack and under specific circumstances, inject electricity from their plug-in vehicles to power the grid, contributing to frequency regulation. en_US
dc.description.degree MS en_US
dc.identifier.uri http://hdl.handle.net/1853/47708
dc.publisher Georgia Institute of Technology en_US
dc.subject Electric vehicle en_US
dc.subject Intelligent energy management system en_US
dc.subject Particle swarm optimization en_US
dc.subject Prosumer architecture en_US
dc.subject Vehicle to grid en_US
dc.subject.lcsh Electric vehicles
dc.subject.lcsh Smart power grids
dc.subject.lcsh Electric vehicles Batteries
dc.title Electric vehicle-intelligent energy management system for frequency regulation application using a distributed, prosumer-based grid control architecture en_US
dc.type Text
dc.type.genre Thesis
dspace.entity.type Publication
local.contributor.advisor Grijalva, Santiago
local.contributor.advisor Egerstedt, Magnus B.
local.contributor.author Egerstedt, Magnus B.
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
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