Optimal power flow resolution using artificial bee colony algorithm based grenade explosion method

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