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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10057/1408
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| Title: | Statistic approach to static conductor thermal rating |
| Authors: | Shao, Miaolei
Jewell, Ward T. |
| Issue Date: | 25-Apr-2008 |
| Publisher: | Wichita State University. Graduate School. |
| Citation: | Shao, 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.159-160 |
| Series/Report no.: | GRASP
v.4 |
| Abstract: | This 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. |
| Description: | Paper 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.
Research completed at the Department of Electrical and Computer Engineering, College of Engineering |
| URI: | http://hdl.handle.net/10057/1408 |
| Appears in Collections: | ECE Graduate Student Conference Papers
Proceedings: 4th Annual Symposium: Graduate Research and Scholarly Projects
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Files in This Item:
| File |
Description |
Size | Format |
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| grasp-2008-76.pdf | Article | 253Kb | Adobe PDF | View/Open |
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