Optimasi Automatic Voltage Regulator dan Load Frequency Control menggunakan Model Predictive Control Tunning Particle Swarm Optimization

This research aims to design AVR and LFC with MPC-PSO method that can maintain the stability of voltage and frequency output system. As well as optimizing the AVR and LFC models using the MPC-PSO method designed to optimally stimulate voltage and frequency using Matlab simulink. Optimization using PSO is done as many as 20 populations and 50 iterations. The results of MPC-PSO and MPC-init are different at the time speed only on the LFC plant, as well as what happens on the AVR plant. Following the details of the step response of LFC and AVR, the base frequency and base voltage values are set to 50 Hz and 20 kV, respectively. Based on the base frequency and base voltage values, the undershoot value is 49.9926 Hz. While the overshoot values are 50.00187 Hz and 50.0000159 Hz for frequency steady state. In AVR, there are only two step response analysis, namely overshoot and steady state. The overshoot value of MPC-PSO is higher than the initialization value of 24.38 kV and for steady state it is 19.8 kV. Although MPC-PSO has a higher overshoot, the steady state time is faster than the initialized MPC. Although MPC can perform control with two plants, suggestions for further development should use one MPC for one plant for optimal results. If you want to do MPC optimization, it is better to use a device that has higher specifications so that the use of time is more efficient.