Multiobjective-based cuckoo search algorithm-optimized PID controller for frequency regulation of an interconnected power system

Abstract

A mathematical model of an interlinked nuclear power system is investigated, and the performance of the projected algorithm is analysed in this article. A two-area nuclear power network is designed and examined for frequency regulation. Unexpected load demand is the major cause of system frequency deviation. The load frequency control (LFC) scheme is presented to the power system to control and monitor frequency deviation. The deviation can be controlled and monitored by using a secondary controller. A proportional integral derivative (PID) controller is suggested as a subordinate loop control. The cuckoo search (CS) method optimizes the controller parameters with error functions to improve the controller’s performance. Four different objective functions (IAE, ITAE, ISE, and ITSE) are used in various combinations (such as single objective, double objective and multiobjective functions). The simulation result evaluation effectively revealed that the multiobjective function-based CS provided a better transient response to control the frequency oscillation.