PSO-Based PID Controller Designing for LFC of Single Area Electrical Power Network

Abstract

In this chapter, particle swarm optimization (PSO) technique has been implemented for determining optimal values of parameters of proportional–integral–derivative (PID) controller for the load frequency control (LFC) of single area power network. In this chapter, in place of considering one or two criteria, all the four performance indices—integral of time weighted squared error (ITSE), integral of time weighted absolute error (ITAE), integral of square error (ISE) and integral of absolute error (IAE)—have been considered as the objective functions for solving LFC problem. The implemented technique has been validated with genetic algorithm (GA) technique to show the effectiveness and applicability in tuning the PID controller. The results show the effectiveness and applicability of the proposed technique in terms of performance indices, undershoot, overshoot and settling time.