Abstract

This paper proposes a cuckoo optimization algorithm (COA) method
for solving optimal power flow (OPF) problem. The proposed method is inspired
from the life of the family of cuckoo. In the proposed method, there are
two main components including mature cuckoos and cuckoo’s eggs. During the
survival competition, the survived cuckoo societies immigrate to a better environment
and restart the process. The cuckoo’s survival effort hopefully converges
to a state that there is only one cuckoo society with the same maximum
profit values. The COA method has been tested on the IEEE 30, 57, and 118-
bus systems with three kinds of objective function and the obtained results have
been compared to those from conventional particle swarm optimization (PSO)
method. The result comparison has shown that the proposed method can obtain
better optimal solution than the conventional PSO. Therefore, the proposed
COA could be a useful method for implementation in solving the OPF problem.