BF-NM optimization algorithm based LFC for interconnected power system

This paper presents a novel hybrid algorithm, named bacterial foraging Nelder-Mead (BF-NM), to determine the optimal values for the proportional-integral (PI) controller parameters in load frequency control (LFC) of a two-area thermal power system including governor dead-band and generation rate constraint (GRC) nonlinearities. In order to have the best optimization procedure, a local search algorithm called Nelder-Mead is used along with BF technique. In this study, the performance of the proposed BF-NM algorithm is compared with the performance of other intelligent algorithms such as CRAZYPSO and BF. The comparative results reveal the effectiveness of the proposed control strategy over other existing techniques.