The optimal placement of phasor measurement units and their effects on state estimation

Simple item page
dc.contributor.advisorChowdhury, Sen_ZA
dc.contributor.advisorChowdhury, SPen_ZA
dc.contributor.authorYuill, Williamen_ZA
dc.date.accessioned2014-12-31T19:26:30Z
dc.date.available2014-12-31T19:26:30Z
dc.date.issued2011en_ZA
dc.description.abstractPhasor measurement units (PMUs) are a key new technology for use in electric power systems as a backbone for sensing and measurement and to improve interface and decision support using instantaneous PMU data which will drive faster simulations and advanced visualisation tools that will help system operators assess dynamic challenges to system stability. The two main objectives of this work are to investigate and develop 1. a method for the algorithmic placement of a minimum number of PMUs into a system to ensure full observability, 2. conventional, hybrid and linear state estimation techniques to incorporate and utilize PMU measurement data to perform state estimation and to study the effects that differing PMU placement positions have on the accuracy of the resultant state estimator solution.en_ZA
dc.identifier.apacitationYuill, W. (2011). <i>The optimal placement of phasor measurement units and their effects on state estimation</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/10686en_ZA
dc.identifier.chicagocitationYuill, William. <i>"The optimal placement of phasor measurement units and their effects on state estimation."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2011. http://hdl.handle.net/11427/10686en_ZA
dc.identifier.citationYuill, W. 2011. The optimal placement of phasor measurement units and their effects on state estimation. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Yuill, William AB - Phasor measurement units (PMUs) are a key new technology for use in electric power systems as a backbone for sensing and measurement and to improve interface and decision support using instantaneous PMU data which will drive faster simulations and advanced visualisation tools that will help system operators assess dynamic challenges to system stability. The two main objectives of this work are to investigate and develop 1. a method for the algorithmic placement of a minimum number of PMUs into a system to ensure full observability, 2. conventional, hybrid and linear state estimation techniques to incorporate and utilize PMU measurement data to perform state estimation and to study the effects that differing PMU placement positions have on the accuracy of the resultant state estimator solution. DA - 2011 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2011 T1 - The optimal placement of phasor measurement units and their effects on state estimation TI - The optimal placement of phasor measurement units and their effects on state estimation UR - http://hdl.handle.net/11427/10686 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/10686
dc.identifier.vancouvercitationYuill W. The optimal placement of phasor measurement units and their effects on state estimation. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2011 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/10686en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Electrical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherElectrical Engineeringen_ZA
dc.titleThe optimal placement of phasor measurement units and their effects on state estimationen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
thesis_ebe_2011_yuill_w.pdf
Size:
1.88 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Masters