  The article considers the problem of the optimal control of a wind power
plant based on fuzzy control and automation of generating the fuzzy rule base.
Fuzzy rules by experts do not always provide a maximum power output of the wind
plant and fuzzy rule bases require an adjustment in the case of changing the
parameters of the wind power plant or the environment. This research proposes
the method for optimizing the fuzzy rules base compiled by various experts. The
method is based on balancing weights of fuzzy rules into the base by the
Particle Swarm Optimization algorithm. The experiment has shown that the
proposed method allows forming the fuzzy rule base as an exemplary optimal base
from a non-optimized set of fuzzy rules. The optimal fuzzy rule base has been
taken under consideration for the concrete control loop of wind power plant and
the concrete fuzzy model of the wind.
