Load frequency control in two area multi units Interconnected Power System using Multi objective Genetic Algorithm

In this paper, load frequency control in two-area multiunits interconnected hydro thermal power system has been investigated. When an interconnected power system is subjected to heavy load disturbances, the system frequency and tie-line power flow are disturbed which leads to system instability. To stabilize the system frequency oscillations and tie line power flow variations, a PID controller in coordination with Thyristor controlled phase shifter (TCPS) is proposed in this work. The parameters of PID controller and TCPS controller is tuned by using the proposed Global Ranking Multi objective Genetic algorithm (GRMOGA). The objective of this work is to improve the dynamic performance of the interconnected power system under heavy load disturbances. By the application of the proposed algorithm, the optimal gain values of the controllers are selected. Simulation studies are carried out by applying those optimal parameters values in the developed model and to show the effective performance of the proposed controller comparative analysis has been made with conventional PID and single objective GA PID controller. Key-Words:Load frequency control, Hydrothermal power system, PID controller, TCPS controller, Genetic algorithm, Multi objective optimization