A new adaptive differential evolution-hybrid fuzzy PIDN controller for performance amelioration of power systems

Abstract Rapidly returning back the synchronism of an inter-connected multi-area power system under continuous varying load demand conditions is documented as a distinguished issue to be tackled by automatic generation control (AGC). AGC supports to alleviate both the frequency and tie-line power deviations on occurrence of load perturbations. Therefore, a robust and intelligent controller is indispensable for an effective AGC in power system. In the current work, a hybrid fuzzy proportional-integral-derivative with filter (FPIDN) controller is employed for AGC of 2-area non-reheat/reheat thermal power systems. A new adaptive differential evolution (ADE) is exploited to adjust parameters of the controller. The dominance of the endorsed technique is revealed by evaluating it with lately published approaches. Then, the recommended scheme is extended to a realistic 4-area interconnected reheat thermal system, which includes all possible uncertainties such as generation rate constraint, boiler dynamics and governor dead band. It is perceived that the performance of the suggested ADE aided hybrid FPIDN controller provides a better response than other control techniques. Lastly, the robustness of the advocated method is tested for an extensive variety of system parameters. The stability analysis is validated by analyzing frequency domain specifications such as gain margin and phase margin. Finally, real-time hardware-in-the-loop simulations are performed to confirm the applicability of the advocated controller for AGC.