Load Frequency Control Based on the Bees Algorithm for the Great Britain Power System

This paper focuses on using the Bees Algorithm (BA) to tune parameters of proposed Fuzzy Proportional–Integral–Derivative with Filtered derivative (Fuzzy PIDF), Fractional Order PID (FOPID) controller and classical developed stabilize balance frequency in Great Britain (GB) power system at rated value. These controllers are meet requirements GB Security Quality Supply Standard (GB-SQSS), which requires be brought back its nominal value after a disturbance within specified time. work is extended employ fuzzy structure dual-area interconnected system. In comparison tuned by Particle Swarm Optimization (PSO) Teaching Learning-Based (TLBO) used for same systems, simulation results show that PIDF BA able significantly reduce deviation tie-line when sudden applied. Furthermore, applied including prove their high robustness against wide range parametric uncertainties different load disturbances.