Power system adequacy and security calculations using Monte Carlo simulation incorporating intelligent system methodology

Monte Carlo Simulation has been extensively used in reliability evaluation of electric power systems. One of the issues with this approach has been the computational time for convergence of indices being estimated, especially when the systems are highly reliable. Perhaps the most commonly used approach to deal with this problem has been some version of variance reduction techniques. Recently some publications have proposed use of intelligent systems techniques such as self-organizing maps and linear vector quantization to tackle this problem. This paper will provide a perspective on this hybrid approach using Monte Carlo Simulation and intelligent system methods. The philosophy of this hybridization as well some results will be discussed.