For a paid option, you can try DIgSILENT PowerFactory. Alternatively, GridLAB-D is an open source software developed by the U.S. Department of Energy (DOE).
As long as you can model it, you should be able to use a spice-based simulator like the free LTSPICE from Linear Technology or similar to do Monte Carlo analysis on electrical systems. The documentation that comes with it will explain how to implement it. And I'm sure a Google search will turn up examples. Also, there is an LTSPICE user's group forum where you could get many examples from.
Monte Carlo Method is Well Suited for Power System Reliability.
In addition to Dazhi Yang's Statement ,"For a paid option, you can try DIgSILENT PowerFactory. Alternatively, GridLAB-D is an open source software developed by the U.S. Department of Energy (DOE)."you may go thriugh the Following Information also.
1. Monte Carlo Simulation of Power System Stability
Timko K.J., Bose A., Anderson,Paul M.
This paper presents a Monte Carlo simulation of the transient stability of a power system. The simulation time is in the order of years in which the occurrence of disturbances and the subsequent protective action are considered to be stochastic processes. The objective is to obtain a probabilistic measure of transient stability for a power system instead of just its particular response to an individual disturbance. The latter is the usual output of deterministic transient stability programs that are used for present day worst case analysis. A probabilistic analysis is needed if such worst case design criteria is to be replaced by (probabilistic) reliability criteria. This paper describes a computer program that has been developed for such a Monte Carlo simulation and presents some results of its application to representative systems.
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5. Harmonic distortion analysis software combining EMTP and Monte Carlo method
Luis Daniel Bellomo , Guy Olivie
Abstract
Usually, harmonic load flow studies are based on deterministic solutions. Very often, the measured distortion levels are less severe than those predicted by the models but often show the presence of non characteristic harmonics that do not exit in simulation results. This is due to the fact that the harmonic generation is a stochastic process. It is particularly true in the case of loads made of a multitude of small nonlinear loads such as computer power supplies. The minute differences between the individual loads must be taken into account. An auxiliary module was added to the well-known ATP/EMTP software to randomly vary several simulation parameters. Using Monte Carlo iterative process much more realistic distortion levels are obtained.
Keywords
Stochastic simulation; Harmonics; Monte Carlo process; EMTP; Distribution system