Fractional Order AGC Design for Power Systems via Artificial Gorilla Troops Optimizer

Due to parameter uncertainty, vague loading behavior, and nonlinearities of the interconnected power system (IPS), various controllers come into the picture to deal with automatic generation control (AGC). The critical role of AGC is to maintain a balance among power demands and generations in IPS. This paper deals with the implementation of fractional order PID (FOPID) controller for AGC in two areas reheat thermal type IPS. To obtain the controller parameters, a recently invented metaheuristic technique named Artificial Gorilla Troops optimizer (GTO) is proposed. To replicate the practical scenarios nonlinearities such as generation rate constraints (GRC) and generation dead band (GDB) are considered in the proposed work. A comparative analysis of four state-of-the-art metaheuristic approaches, as well as the performance evaluation of the proposed controller against parametric uncertainties, have been performed. Finally, the obtained results reveal the superior performance of the proposed control scheme.