Probability parameter estimation of outage rate effects for lightning overvoltage analysis on 500 kV EHV double circuit transmission lines using neural networks

This paper presents the probability parameter estimating due to outage rate effects for lightning overvoltage analysis on 500 kV EHV double circuit transmission lines of type DL3deg and DT20deg by using neural networks. This research begins for parameter determining the critical flashover voltage: (CFO) required for a given lightning surge performance level is given. If the surge voltage varies along the line, the insulation of system from fault effect. This fault line will have a number of stroke on overhead ground wire. The maximum voltage from flashover effects in the lines. The Gaussian frequency of occurrence of surge voltage, the extreme value distribution, the critical stroke current. An artificial neural network can shorten the probability of flashover at tower and the outage rate. Estimation of the parameter using program give the results which are reliability of 500 kV double circuit transmission lines designs efficiently