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Superiority of JAYA Optimized 2DOF-IDD control strategy for AGC of hybrid power system

The research work on automatic generation control (AGC) of a multi area power system has been well addressed in this article. In order to obtain AGC under dynamic load, the authors have proposed a degree of freedom oriented integral and double derivative controller. The degree of freedom nature of proposed 2DOF-IDD controller gracefully improves the overall performances under any disturbances. A multi objective JAYA algorithm has been suggested to optimally design the proposed 2DOF-IDD controller under different functional conditions. The performance of proposed 2DOF-IDD controller has been investigated through a standard comparative study over 2DOF-PID and 2DOF-PI control control approach for generation control of the proposed plant under study. The dynamic performance of suggested JAYA algorithm has been compared over flower pollination algorithm (FPA), cuckoo search algorithm (CSA) and genetic algorithm (GA). An improved objective function called integral of time multiplied by absolute error (ITAE) has been considered while optimizing parameters of proposed 2DOF-IDD controller. The proposed power system integrated with the wind power station is modeled with existing conventional system for improving overall rating of the system. Finally, it is inferred from various simulated results that suggested JAYA algorithm based 2DOF-IDD controller is better in regard to AGC of hybrid power system.