The main purpose of this research is to allow doubly
fed induction generator (DFIG) to participate effectively in
interconnected power systems load frequency control via improved
harmony algorithm (IHA). In order to tune the parameters of the
PI controllers without considering the complexity associated with
the modeling of the power system, the corresponding optimization
problem is formulated in terms of an objective function, which
represents the norm of the closed-loop area control error signal. A
three-area interconnected power system subjected to major
disturbances is investigated to verify the effectiveness of the
developed algorithm of DFIG wind turbine participation in load
frequency regulation. Time domain simulation results are
presented to prove the improved performance of the developed
IHA-based controller compared with genetic algorithm, simulated
annealing, and a conventional integral controller. The results show
that the developed IHA controller has better behavior over other
algorithms in terms of settling times and other indices