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Predicting the lightning impulse strength of two series dielectricson distribution lines using multiple regression technique

Shwehdi, M.H. and Maghrabi, H.M. and Izzularab, M. (1997) Predicting the lightning impulse strength of two series dielectricson distribution lines using multiple regression technique. Electrical Insulation and Dielectric Phenomena, 1997. IEEE 1997 Annual Report., conference, 2.

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Abstract

A method of estimating lightning impulse critical flashover (CFO) insulation strength of two components, combinations of four different dielectrics commonly used on distribution construction, is presented. Multiple Regression technique (MRT) has been applied to the whole CFO data population of the two dielectric combinations for the four materials namely; porcelain, wood, Reinforced Fiberglass Plastics (BRP), and polymers, to obtain a general model for CFO population of the two components in series. Also models for each specific two dielectrics combination were developed. A diagnostic correlation test is performed for the general and to each combination models, this is to decide which model fits well for the estimation of the insulation strength, and which of the two materials added to the strength of the combination. Recommendations are made regarding the more accurate prediction model, and the main factors that might have effected predicted results are pointed out. A procedure to predict values outside the experimental results range is described for other sizes and lengths of the tested components. This procedure is a good tool to be used for finding the most optimum insulation added in distribution systems



Item Type:Article
Date:October 1997
Date Type:Publication
Subjects:Computer
Divisions:College Of Engineering Sciences > Electrical Engineering Dept
Creators:Shwehdi, M.H. and Maghrabi, H.M. and Izzularab, M.
ID Code:14579
Deposited By:KFUPM ePrints Admin
Deposited On:24 Jun 2008 16:41
Last Modified:12 Apr 2011 13:17

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