Effect of Cuckoo Search Optimized Integral - Double Derivative Controller with Tcps for Containing Oscillations in Automatic Generation Control (agc)

In this paper, integral plus double derivative (IDD) in coordination with Thyristor Controlled Phase Shifter (TCPS) is applied for the first time in automatic generation control (AGC) system. Comparative studies on the performance of different classical controllers viz. integral (I), proportional plus integral (PI), proportional plus integral plus derivative (PID) and integral plus double derivative (IDD) in automatic generation control of two equal area reheat thermal system without and with TCPS is presented. The study is carried out considering appropriate generation rate constraints (GRC). The controller gains are optimized using a new meta-heuristic search algorithm called Cuckoo Search (CS). Comparison of convergence characteristics of Genetic Algorithm (GA), Particle swarm optimization (PSO) and CS algorithms reveal faster convergence in case of CS algorithm, which is an obvious choice of reducing computational burden . Further, comparison of dynamic responses reveals that responses for I, PI, PID controllers without and with TCPS are practically more or less same whereas those of IDD without and with TCPS are much better. The improved dynamic responses using IDD controller with TCPS, in terms of peak deviations and settling time as compared to the output responses of the system obtained without TCPS 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).