Firefly-swarm optimized fuzzy adaptive PSS in power system for transient stability enhancement

In this article, a fuzzy adaptive proportional integral derivative based power system stabilizer (FAPID-PSS) was presented in order to damp interarea oscillations in a single machine infinite bus (SMIB system). Optimal tuning of gains of FAPID-PSS controller is considered as optimization problem. Change in speed is considered as the input and correcting voltage signal is considered as output of the proposed controller. A hybrid firefly-particle swarm optimization (FF-PSO) technique is implemented in order to improve power system stability. The problem of FAPID-PSS controller design is transformed into an optimization problem based on integral squared error. Further FF-PSO based optimization technique has been implemented for tuning of optimal gains of the proposed FAPID-PSS based controller. In order to test the robustness and performance of the proposed controller, it has been tested under various disturbances and operating conditions. Further, a comparison has been made between PSO optimized FAPID controller and FA-PSO optimized FAPID controller in a SMIB system. Effectiveness of the proposed controller was analyzed graphically as well as analytically that the proposed FFPSO tuned FAPID-PSS controller performs better than conventional controllers.