  This article proposes a method for generator controller tuning in a power
system affected by stochastic loads. The method uses the Analysis of Variance
to detect the controllers with significant effect over the quality of the
system response. Such quality is measured with an objective function defined as
a weighted average of the Integral Absolute Error of each controller. The
significant variables are then varied over a specified region in order to
characterize the objective function through a regression model, which is then
optimized. The method was applied to the system IEEE14 and the results were
compared with benchmark parameters, showing better performance.
