Using Honey Bee Mating Optimization for Solving Optimum Power Flow Problem
This paper present honey bee mating optimization (HBMO) for optimal power flow (OPF) problems to aim the minimum cost as an objective function and satisfying other constrain such as generation capacity limits, power balance, line flow limits, bus voltage and operating limits of power system and dependent variables. The proposed method has been examined and tested the standard IEEE 30 bus test system. The HBMO method has been demonstrated and compared with the other intelligence heuristic algorithm such as Particle Swarm Optimization (PSO), Shuffle frog leaping algorithm (SLFA) Modified Differential Evolution OPF (MDE-OPF), Simulated Annealing (SA), Improved Evolutionary Programing (IEP), for 30 bus test system. At the end by comparing the results, superiority of presented method has been demonstrated over the mentioned method.
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