This paper describes optimal power flow based on oppositional biogeography-based optimisation (OBBO) in which fuel cost, voltage deviation and power transmission loss functions are individually used as the problem objectives. The feasibility of the proposed method is exhibited for standard IEEE 30-bus and IEEE 118-bus systems and the results obtained by using the proposed approach are compared with other optimisation methods. The proposed OBBO provides results better than other heuristic techniques. The results also show that OBBO has the effectiveness and potential to solve both small and large scale OPF problems.
Keywords: opposition-based learning, OBL, genetic algorithm, particle swarm optimisation, PSO, biogeography, optimal power flow, biogeography-based optimisation, BBO, evolutionary algorithm