For this research, the method for applying bee algorithm (BA) to design the optimal controller is presented, i.e. scaling factorfuzzy logic-PID (SF-FLPID), superconducting magnetic energy storage (SMES), and proportional-integral-derivative (PID) controllers. These controllers are used for load frequency control (LFC) of an isolated hybrid wind-diesel (IHWD) power system. Conventionally, the PID controller gains, scaling factor, membership functions (MF), control rules (CR) and PID gains of SFFLPID controller and the SMES controller gains are derived by trial-and-error processes or the experiences of designers. However, in this research, BA is applied to the control system so that these parameters can be tuned simultaneously and help minimize system frequency deviations against disturbances and variation. Results of simulation explicitly show that the BA approach can achieve high performance for the optimal PID, SF-FLPID and SMES controllers.

Keywords: Bee algorithm, Fuzzy logic controller, Load frequency control, Proportional-integral-derivative (PID) controller, Superconducting magnetic energy storage (SMES), Wind-diesel power system.