Effect of Static Synchronous Series Compensator (SSSC) for Damping Oscillations in Automatic Generation Control with Cuckoo Search Optimised Integral Double Derivative Controller

Abstract

This paper investigates into the effectiveness of cuckoo search (CS) algorithm to obtain the optimal gain settings of different classical controllers viz. integral (I), proportional plus integral (PI), proportional plus integral plus derivative (PID) and integral plus double derivative (IDD) for load-frequency control (LFC) of two-area interconnected thermal reheat power system without and with Static Synchronous Series Compensator (SSSC) in the tie-line, and compare its performance to establish its superiority over genetic algorithm (GA) and particle swarm optimization (PSO) algorithms. Further, the performance of above mentioned different classical controllers for the system without and with SSSC is investigated. The study is carried out considering appropriate generation rate constraints (GRC). Integral squared error (I.S.E) technique is used to optimize the designing parameters. Comparison of convergence characteristics of GA, PSO and CS algorithms reveal faster convergence in case of CS algorithm, which is an obvious choice of reducing computational burden. Comparison of dynamic responses reveals that responses for I, PI, PID controllers without and with SSSC are practically more or less same whereas those of IDD without and with SSSC are much better. The improved dynamic responses using IDD controller with SSSC, in terms of peak deviations and settling time as compared to the output responses of the system obtained without SSSC is also presented. Finally, sensitivity analysis is carried out to verify the robustness of the optimum gains of the IDD controllers to wide changes in system loading condition, several system parameters and size of step load perturbation (SLP).