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dc.contributor.authorShao, Miaolei
dc.contributor.authorJewell, Ward T.
dc.date.accessioned2008-06-05T19:15:54Z
dc.date.available2008-06-05T19:15:54Z
dc.date.issued2008-04-25
dc.identifier.citationShao, Miaolei, Jewell, Ward T., (2008) . Statistic approach to static conductor thermal rating . In Proceedings: 4th Annual Symposium: Graduate Research and Scholarly Projects. Wichita, KS: Wichita State University, p.159-160en
dc.identifier.urihttp://hdl.handle.net/10057/1408
dc.descriptionPaper presented to the 4th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Hughes Metropolitan Complex, Wichita State University, April 25, 2008.en
dc.descriptionResearch completed at the Department of Electrical and Computer Engineering, College of Engineeringen
dc.description.abstractThis paper proposes applying the statistic analysis method for determination of static conductor thermal rating. The spectrum of the maximum current of conductor over a year is first calculated using Typical Meteorological Year (TMY2) data set as weather data and IEEE Standard 738-1993 as computation engine. The statistic analysis is then performed to calculate the cumulative distribution function (CDF) of the maximum current. Finally, the static conductor thermal rating can be determined based on the risk level which utilities are willing to take. The statistic analysis method helps system planners to determine the static conductor thermal rating by quantifying the risk of a conductor’s actual allowable maximum current higher than the static rating. This proposed method is applied to determine the static conductor thermal rating of different zones within Rocky Mountain and Desert Southwest area.en
dc.format.extent259341 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen
dc.publisherWichita State University. Graduate School.en
dc.relation.ispartofseriesGRASPen
dc.relation.ispartofseriesv.4en
dc.titleStatistic approach to static conductor thermal ratingen
dc.typeConference paperen


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