Kidney-inspired Algorithm for Determination of PID Power System Stabilizer Parameters

Power system stabilizer (pss) is an operative tool for the suppression of low frequency oscillations. in this article, a novel algorithm is used for the optimal design of proportional integral derivative (pid) pss for a single machine infinite bus (smib) network. the controller design problem is converted to an optimization problem and the pid parameters of controller are tuned by using kidney-inspired algorithm (ka) which is a powerful optimization method. the efficiency of the newly designed pidpss is applied to the smib under large and small disturbances in comparison with the differential evolution (de) and artificial bee colony algorithm (abc) based pidpss design methods. nonlinear time-domain simulation results show that the proposed ka based controller (ka-pidpss) gives an excellent damping performance compared to other methods.