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This article presents an application of bee algorithm (BA) to adjust robust and Optimal Fuzzy Logic-proportional-integral-derivative (FLPID) controllers for automatic generation control (AGC) of two areas interconnected hydro-thermal system combining superconducting magnetic energy storage (SMES) units. BA is nominated to simultaneously tune FLPID controllers to minimize frequency deviations of the power system against load disturbances. Generally, Membership Functions (MF) and Control Rules (CR) of the Fuzzy Logic Controller (FLC) were obtained by trial and error methods of creators. Simulation results indicate that the proposed FLPID controllers with SMES units in both areas perform tremendously better than other that no SMES unit and SMES unit in either thermal or hydro area in settling time, overshoot and integral absolute error (IAE). Accordingly, FLPID controllers will result to power system having stability in power transmission and distribution. This article presents an application of bee algorithm (BA) to adjust robust and Optimal Fuzzy Logic-proportional-integral-derivative (FLPID) controllers for automatic generation control (AGC) of two areas interconnected hydro-thermal system combining superconducting magnetic energy storage (SMES) units. BA is nominated to simultaneously tune FLPID controllers to minimize frequency deviations of the power system against load disturbances. Generally, Membership Functions (MF) and Control Rules (CR) of the Fuzzy Logic Controller (FLC) were obtained by trial and error methods of creators. Simulation results indicate that the proposed FLPID controllers with SMES units in both areas perform tremendously better than other that no SMES unit and SMES unit in either thermal or hydro area in settling time, overshoot and integral absolute error (IAE). Accordingly, FLPID controllers will result to power system having stability in power transmission and distribution.
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