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In terms of power generation, Automatic Generation Control (AGC) has taken care of the interchange power flow deviations in order to sufficiently alleviate both the frequency and tie-line power deviations as a perturbation occurs in the interconnected multi-area power system. To provide a high-quality electrical power, a robust and intelligent controller can effectively augment the operational function of the AGC system. The wide-ranging bandwidth, flexible memory and uniform phase contribution in the Fractional Order Proportional Integral Derivative (FOPID) frequency response have been utilized to enhance the dynamic performance of control system against the various power system uncertainties. Since type-2 Fuzzy Logic Controller can significantly overcome the drawbacks of type-1 FLC, it has been satisfactorily combined with FOPID to more abate the low- frequency oscillations. The so-called T2FLC-FOPID has been thoroughly evaluated in two distinct multi-machine power systems under different perturbations. The dynamic stability strategy is formulated as a nonlinear constrained multi-objective optimization problem. As a result, T2FLC-FOPID parameters have been optimally extracted using Non-Dominated Sorting Genetic Algorithm-II (NSGA-II). The dynamic performance of T2FLC-FOPID has been more validated when it has been compared with the conventional PID, FLC and T1FLC-FOPID.

iete journal of research

Robust and Intelligent Type-2 Fuzzy Fractional-Order Controller-Based Automatic Generation Control to Enhance the Damping Performance of Multi-Machine Power Systems