ION-BASED CONTROL APPROACHES FOR MITIGATING THE FREQUENCY FLUCTUATIONS IN TWO AREAS OF INTERCONNECTED POWER SYSTEM

With the rise of uncertainties in the electrical market, there is necessary to obtain optimal system operation with a new proposed scheme. For this, the new approach for automatic generation control (AGC) in two areas, four units like two thermal and two DFIG-based wind turbines of an interconnected system. A two degrees of freedom proportional integral derivative (2-DOF-PID) control method is proposed to alleviate the disturbance and violation in frequency and tie-line power. The optimal operation of the system nearer to the ideal case parameter tune is done using a nature-inspired evolutionary method called teaching learning-based optimization (TLBO) to get more significant gain parameters. This approach is considered novel for this work with the proposed controller scheme. The recommended system has been developed in MATLAB/Simulink environment. Furthermore, The reliability and effectiveness of the suggested control approach are compared with the proportional-integral (PI) and particle swarm optimization (PSO) optimized PI. As per the simulation results, the proposed TLBO-based PI method shows better enhancement in terms of mitigating the fluctuations in frequency and tie-line power than other methods