Optimal Power Flow Based on Flower Pollination Algorithm

Abstract

In this study, the Flower Pollination Algorithm (FPA) based on meta-heuristic technique is proposed for optimal power flow (OPF) problems in electrical power systems. An algorithm inspired by the pollination process of flowers is implemented to OPF problem. The objective function of the study is to minimize fuel cost with voltage magnitude and line capacity as a constraint. Control variables are the generation of active power, voltage magnitude at PV and swing bus, settings ratio of tap transformer, and shunt capacitance values under several power system constraints. The FPA was implemented to IEEE 30- bus power system. The results ofthe simulation are then compared with some literatures with the same control variables and constraints. The simulation results show that the proposed FPA method provides accurate solutions for objective functions. In addition, the proposed method proved that the effectiveness and robustness of the results were satisfactory.