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dc.contributor.authorHajforoosh, Somayeh
dc.contributor.supervisorSyed Islamen_US
dc.date.accessioned2019-07-05T03:39:47Z
dc.date.available2019-07-05T03:39:47Z
dc.date.issued2019en_US
dc.identifier.urihttp://hdl.handle.net/20.500.11937/75838
dc.description.abstract

This PhD research proposes a new objective function for optimal on-line PEV coordination. A new enhanced on-line coordinated charging using coordinated aggregated particle swarm particle optimization (OLCC-CAPSO) has been used to solve the PEV coordination objective objection and associated constraints. The objective function provides a chance for all PEVs to start charging as quickly as possible, while customer satisfaction function is being optimized subject to network criteria including voltage profiles, generator and distribution transformer ratings.

en_US
dc.publisherCurtin Universityen_US
dc.titleOn-Line Optimal Charging Coordination of Plug-In Electric Vehicles in Smart Grid Environmenten_US
dc.typeThesisen_US
dcterms.educationLevelPhDen_US
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Sciencesen_US
curtin.accessStatusOpen accessen_US
curtin.facultyScience and Engineeringen_US


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