New Coordinated Tuning of SVC and PSSs in Multimachine Power System Using Coyote Optimization Algorithm

This paper presents a new approach for coordinated design of power system stabilizers (PSSs) and static VAR compensator (SVC)-based controller. For this purpose, the problem is considered as an optimization whose decision variables are controllers’ parameters. Due to nonlinearities large, interconnected systems, methods capable handling any nonlinearity networks mostly preferable. In regard, nonlinear time domain based objective function used. Then, coyote algorithm (COA) employed solving problem. order ensure robustness performance proposed controller (COA-PSS&SVC), evaluated various extreme loading conditions configurations. To show contribution controllers on improvement stability, PSSs SVC optimally designed in individual manners. Moreover, effectiveness COA-PSS&SVC assessed through comparison with other controllers. Nonlinear simulation shows superiority its ability providing efficient damping electromechanical oscillations.