Transient performance improvement of power system by optimal design of SVC controller employing genetic algorithm

With the increase of loading of long transmission line, transient stability of power system on the occurrence of a fault become one of the major concern for power engineers. Instability problem of power system on occurrence of the fault can be solved with the use of Static VAR Compensator (SVC) controller. Assessing the transient stability of a large inter connected power network very much nonlinear and tremendously complicated. To mitigate this complication and nonlinearity, a substantial research with SVC controller has been done in the power industry. To improve the system stability for dynamic and transient disturbances SVC plays a very important role, which is a shunt connected FACTS devices. In this work, genetic algorithm based optimal design of SVC controller to improve the transient performance of power system is proposed. The parameters of the damping controller by optimal selection of damping ratio of the critical eigenvalue employing genetic algorithm are tuned. The effectiveness of the developed optimal controller is investigated by simulating different abnormal conditions of a single machine infinite bus (SMIB) system using MATLAB based PST.