new control method of islanded microgrid system: a ga & ica based optimization approach

microgrids are small-scale, low voltage (lv) power networks which employ renewable distribution energy resources (ders) with power electronic interfaces (peis). microgrids as single controlled units and active distribution networks require flexible control systems to ensure reliable and secure operation in different modes. these various operations of microgrid cause variations in voltage and frequency especially in island mode. in this paper, a new control method with two optimization algorithms (genetic algorithm (ga) & imperialist competitive algorithm (ica)) are proposed to eliminate both voltage and frequency disturbances. also, a new concept of conventional droop control in format of fast droop controller (fdc) is designed to guaranty the microgrid system reliability with cooperation of a modern frequency controller. simulation results show the truth behavior of proposed approach in comparison with previous methods