Application of optimum stratified sampling and separate ratio estimation in stochastic copper loss of transmission system evaluation

A combined Monte Carlo and optimum stratified sampling method is presented to better estimate copper loss of a transmission system during a prespecified future period. This design seeks to enhance the precision of copper loss of transmission system estimation, while reducing computation time. The techniques included are optimum stratified sampling and separate ratio estimation. The optimum stratification rule aims to remove any judgmental input and to render the stratification process entirely mechanistic. The estimator, provided by ratio statistics of the sample, can avoid identification of the regression model and thus save computation time. The effectiveness of precision improvement is demonstrated