Repository logo
 

DETERMINATION OF TRANSMISSION LINE AMPACITIES BY PROBABILITY AND NUMERICAL METHODS

dc.contributor.advisorBillinton, R.
dc.creatorKoval, Don Orest
dc.date.accessioned2018-12-20T18:51:07Z
dc.date.available2018-12-20T18:51:07Z
dc.date.issued1969-05
dc.date.submittedMay 1969en_US
dc.description.abstractThe transmission line is the primary medium by which electrical power is transmitted and distributed within a power system. The maximum load current that can be carried by the conductor is designated as the conductor ampacity and is normally determined from a single set of weather conditions. In recent years, it has been suggested that traditional ampacities are conservative and that local weather and operating practices should be utilized in evaluating a given conductor ampacity. This thesis presents the numerical and statistical methods for establishing the ampacity of an existing transmission line considering actual hourly weather and load current data collected over a period of one year. These methods are generalized to be applicable to any transmission line located in a given weather environment. .A statistical weather model has been developed utilizing the Pearson Family of Curves, the Method of Least Squares and some elements of correlation theory. Digital computer programs have been developed to study conductor ampacities based on the maximum conductor temperature and the permanent loss of strength in the conductor due to annealing. The actual weather data, the statistical weather model and various load current distributions have been studied to establish the ampacity for an existing transmission line. General conclusions reached concerning ampacities agreed with published data. The statistical weather model approach was found to be accurate, quite flexible and requires less digital computer time than the sequential utilization of actual data.en_US
dc.identifier.urihttp://hdl.handle.net/10388/11680
dc.titleDETERMINATION OF TRANSMISSION LINE AMPACITIES BY PROBABILITY AND NUMERICAL METHODSen_US
dc.type.genreThesisen_US
thesis.degree.departmentElectrical and Computer Engineeringen_US
thesis.degree.disciplineElectrical Engineeringen_US
thesis.degree.grantorUniversity of Saskatchewanen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Science (M.Sc.)en_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Koval_Don_Orest_1969_sec.pdf
Size:
9.48 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.07 KB
Format:
Item-specific license agreed upon to submission
Description: