Dynamic Stability Enhancement of Power System Using Intelligent Power System Stabilizer

The destabilizing effect of high gain in voltage regulators persists in power system. The power oscillations of small magnitude and high frequency, which often persisted in power system, present the limitation to the amount of power transmitted within the system. In this paper, a linearized Heffron–Phillips model of a single machine infinite bus (SMIB) is developed using different controllers like fuzzy logic power system stabilizer (FPSS), PID controller, particle swarm optimization (PSO)-based PID controller for analyzing the stability enhancement in power system. For FPSS, speed deviation and acceleration deviation are taken as inputs. Comparison of the effectiveness (steady-state error, ess, overshoot (Mp), and settling time (ts) for a different controller has been done. The performance of the SMIB system using FPSS has been analyzed when comparing with conventional controllers used in SMIB. Similarly the PSO is done using different iterations on conventional PID controller. The results of the simulation show that for low frequency oscillations, FPSS is more effective in damping compared to conventional controllers, and similarly PSO-based PID controller is more effective than a conventional PID controller.