Thyristor Controlled Series Compensator - based Controller Design Employing Genetic Algorithm : A Comparative Study

technique is applied to design a Thyristor Controlled Series Compensator (TCSC)-based controller to enhance the power system stability. Two types of controller structures, namely a lead-lag (LL) and a proportional-integral-derivative (PID) are considered. Further, for the optimization of proposed controller parameters, two objective functions namely Integral Square Error (ISE) and Integral of Time-multiplied Absolute value of the Error (ITAE) are considered. The design problem of the proposed controller is formulated as an optimization problem and GA is employed to search for optimal controller parameters. A detailed analysis on the selection of objective function and controller structure on the effectiveness of the TCSC controller is carried out and simulation results are presented. The dynamic performances of both the LL and PID structured TCSC-controller are analyzed and compared under various disturbance conditions. It is observed that lead-lag structured TCSC controller where the controller parameters are optimized using ITAE as objective function, gives the best system response compared to all other alternatives.