Binary-coded extremal optimization based fractional-order frequency control of an islanded microgrid

Fractional order control theories have attracted increasing attentions recently due to their better control performance than traditional integer-order controllers, but there are few research works concerning their applications of power systems and power converters. This paper presents a novel binary-coded extremal optimization (BCEO) based fractional-order frequency control method for an islanded microgrid. The basic idea behind the proposed method is using an optimal fractional-order PID (FOPID) controller optimized by a simple but efficiency BCEO algorithm for the frequency control of an islanded microgrid. The superiority of the proposed BCEO-FOPID method to other reported binary-coded genetic algorithm based FOPID/PID, particle swarm optimization based fuzzy FOPID and BCEO based PID algorithms is demonstrated by the simulation results on a typical islanded microgrid.