CEPSO-Based Load Frequency Control of Isolated Power System with Security Constraints

Considering physical limitations like generation rate constraint (GRC), governor dead band (GDB) and time delay (TD), a unique chaotic exponential particle swarm optimization (CEPSO) algorithm is proposed to design the control parameters of PID controller for an isolated realistic power system which consists of thermal and hydro-generating units. An exclusive cost function is framed by taking both transient and steady-state response specifications providing proper weighting coefficients. For avoiding the local optima and to obtain faster and sure convergence, the tuning parameters of CEPSO algorithm like inertia weight, constriction factors and chaotic variables are properly designed. Because of exponential inertia weight and newly developed chaotic variables, optimal solutions are obtained. The simulation outcomes establish the superiority of the proposed CEPSO algorithm compare to genetic algorithm (GA), particle swarm optimization (PSO) and exponential particle swarm optimization (EPSO) algorithms.