Solution of Security Constrained Optimal Power Flow Using Honey Bee Mating Optimization

As a nonlinear, non-convex and large scale optimization problem including both continuous and discrete control variables, security-constrained optimal power flow (SC-OPF) is one of the most important power system problems which need a superior optimization technique to be effectively solved. Inspired by the mating process of honey bees, honey bee mating optimization (HBMO) is a recently invented swarm-based search algorithm owning the potential of finding optimal or close-to-optimal solution. This paper studies the effectiveness of HBMO algorithm to tackle the complexity of SC-OPF problem considering both prohibited operating zones and valve point loading effects. Simulation results show that HBMO produces better results than the other techniques on different test systems.