Power System Stabilizer Based on Artificial Bee Colony Algorithms

Transient stability of power systems is increasingly enhanced through the use of fuzzy logic systems compared with classical controllers. Fuzzy Logic Power System Stabilizers (FLPSS) are optimized in this paper using an Artificial Bee Colony Optimization Algorithm (ABC). ABC-FLPSS has been evaluated using two-area 4- machine and eleven-bus multimachine power systems. For optimizing fuzzy logic power system stabilizer scaling factors, an objective function is formulated as the Integral Squared Error of rotor speed deviation. Changes in parameter values as well as removal of transmission lines are evaluated. Compared to FLPSS and CPSS, ABC-FLPSS controller is superior in performance. ABC-FLPSS controllers are capable of maintaining system stability with fewer parameters. Additionally, it can reduce power loss and dampen oscillations. Furthermore, it can be easily integrated into existing power systems. The ABC-FLPSS controller showed improved transient stability compared to FLPSS and CPSS, even with the removal of one transmission line. This demonstrates its robustness and ability to maintain system stability under changing conditions. Adjusting the mechanical power input of Generator 3 resulted in enhanced stability when controlled by the ABC-FLPSS. This highlights its effectiveness in optimizing power system performance. Key word. Transient Stability, Artificial Bee Colony Optimization Algorithm (ABC), Fuzzy Logic Power System Stabilizer (FLPSS)