Title :
Statistical determination of minimum breakdown voltage for GIL and GIS
Author :
Finkel, M. ; Boeck, W. ; Kynast, E.
Author_Institution :
Tech. Univ. Munich, Germany
Abstract :
The paper deals with the problem of the optimum test procedure for investigating the dielectric properties of gas-insulated switchgear and transmission lines (GIS and GIL). For large GIS and GIL the test procedure becomes more significant, owing to a reduction of the statistical withstand voltage of the whole construction, due to the area effect. However physically there cannot occur a discharge below a minimum breakdown voltage. This fact is taken into account by a Weibull distributed breakdown probability. In order to determine the minimum breakdown voltage a suitable withstand voltage test procedure is considered. Calculations and Monte Carlo simulations were performed for different shape parameters of the Weibull distribution
Keywords :
Monte Carlo methods; Weibull distribution; electric breakdown; gas insulated switchgear; gaseous insulation; insulation co-ordination; power transmission lines; sampling methods; Monte Carlo simulations; Weibull distributed breakdown probability; area effect; dielectric properties; different shape parameters; gas-insulated switchgear; gas-insulated transmission lines; insulation coordination; minimum breakdown voltage; optimum test procedure; statistical determination; statistical withstand voltage; Breakdown voltage; Dielectrics; Electric breakdown; Gas insulated transmission lines; Gas insulation; Geographic Information Systems; Probability; Shape; Switchgear; Testing;
Conference_Titel :
Electrical Insulation and Dielectric Phenomena, 2000 Annual Report Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-6413-9
DOI :
10.1109/CEIDP.2000.885310
