Load Frequency Control for Hybrid Micro-grid Using MRAC with ANN Under-sudden Load Changes

The frequency and power generation control in a power system is usually referred to as a load frequency control. This paper focuses on two control schemes based on the adaptive controller to track sudden load increase and smooth the transfer from grid-connected to island mode and improving the performance of hybrid micro-grid. One scheme uses a model reference adaptive controller (MRAC) to develop the LFC of synchronous generator based on adaptive proportional-integral (API) controller, and to smooth the transfer from grid-connected to island mode. The other scheme employs an MRAC with a Neural Network to further modify the reduction of error signal in the classic MRAC controller and cover any fluctuations in frequency at power sharing during sudden changes in the load. The estimated parameters are used to update the gains of conventional MRAC controller to obtain the best control performance of the micro-grid. The proposed controller is validated by computer simulation analysis using MATLAB-Simulink.