Synchrophasor based methods for computing the thevenin equivalent impedance of a transmission network between the University of Texas at Austin and the University of Texas PanAm
| dc.contributor.advisor | Grady, W. M. | en |
| dc.contributor.committeeMember | Santoso, Surya | en |
| dc.creator | Mohan, Deepak | en |
| dc.date.accessioned | 2011-09-30T18:27:59Z | en |
| dc.date.available | 2011-09-30T18:27:59Z | en |
| dc.date.issued | 2011-08 | en |
| dc.date.submitted | August 2011 | en |
| dc.date.updated | 2011-09-30T18:28:07Z | en |
| dc.description | text | en |
| dc.description.abstract | With the increase in complexity of modern electricity grids, the implementation of state-estimators has become a vital aspect of stability and contingency analyses for stable and secure power system operation. Transmission line reactance is an important component in the computation of state-estimators. Two models utilizing real-time synchrophasor data and ERCOT load information are proposed to compute Thevenin equivalent reactance. This thesis presents the results of implementing these methods to estimate the equivalent reactance of a transmission network between The University of Texas at Austin and The University of Texas, PanAm. | en |
| dc.description.department | Electrical and Computer Engineering | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.slug | 2152/ETD-UT-2011-08-4056 | en |
| dc.identifier.uri | http://hdl.handle.net/2152/ETD-UT-2011-08-4056 | en |
| dc.language.iso | eng | en |
| dc.subject | Synchrophasor | en |
| dc.subject | Damping ratio | en |
| dc.subject | Cyclic variation | en |
| dc.title | Synchrophasor based methods for computing the thevenin equivalent impedance of a transmission network between the University of Texas at Austin and the University of Texas PanAm | en |
| dc.type.genre | thesis | en |
| thesis.degree.department | Electrical and Computer Engineering | en |
| thesis.degree.discipline | Electrical and Computer Engineering | en |
| thesis.degree.grantor | University of Texas at Austin | en |
| thesis.degree.level | Masters | en |
| thesis.degree.name | Master of Science in Engineering | en |