摘要:This paper exposes an Optimal Power Flow (OPF) problem resolution using a recent developed
meta-heuristic algorithm called Artificial Bee Colony (ABC) algorithm based Grenade Explosion
Method (GEM). From many previous researches, the ABC algorithm has proved its goodness at
exploration process in the search space for better solutions, but it is weak at exploitation
process. The proposed GEM associated with the ABC algorithm gives more ability to enhance
the exploitation process by proposing two modified versions of basic ABC algorithm, which are
GABC1 by embedding GEM in the employed bee phase and GABC2 by introducing GEM in the
onlooker bee phase. The effectiveness of the two proposed algorithms in the present work is
investigated by solving the optimization problems of objective functions for smooth, non-smooth
and piecewise quadratic curves of fuel cost function, along with the minimization of voltage
magnitude deviation and voltage stability index. The simulation results on IEEE 30 bus and
IEEE 57 bus test systems are compared to those of other optimization techniques in literature,
showing that the two proposed algorithms are capable to give higher quality solutions efficiently
for a complex OPF problem.
关键词:Artificial bee colony algorithm; Fuel cost; Grenade explosion method; Optimal;
power flow; Voltage magnitude deviation; Voltage stability index.