A robust Multi Verse Optimized fuzzy aided tilt Controller for AGC of hybrid Power System

The research work employs a robust fuzzy aided tilt controller as secondary frequency control loop to obtain stability in frequency and active power of a hybrid power network under different loadings. A novel multi verse optimization (MVO) technique has been proposed to choose best optimal parameters of suggested fuzzy tilt controller. The automation of power generation irrespective of demand is called automatic generation control (AGC) and has great impact over system stability. The study goes through different comparative studies such as technique comparison and controller comparison to defend superiority of proposed MVO algorithm and suggested tilt fuzzy controller. The research study on AGC has been carried in MATLAB smulink environment. An advanced fitness function called integral of time multiplied absolute error (ITAE) has been suggested to develop improved performance of the system under different disturbances. It has been concluded that projected MVO oriented fuzzy tilt controller shows outstanding performance for governing active power generation of the proposed hybrid system.