Load Frequency Control of Autonomous Microgrid System Using Hybrid Fuzzy logic GWO-CS PI Controller

Large frequency fluctuations are caused by the highly intermittent energy from renewable energy sources (RES) as well as the load disturbances of an autonomous micro-grid (MG). In this paper, an isolated micro-grid comprising both controllable and uncontrollable sources is adopted. Fluctuation power of renewable sources and load influence in power balance then in frequency deviation. In order to minimize frequency deviation, a new hybrid algorithm based on grey wolf optimizer and cuckoo search (GWO-CS) is implemented for optimal tuning of Fuzzy PI (proportional-integral) controller gains in an autonomous microgrid. This study considers a variety of scenarios to illustrate the efficiency of the suggested controller. In this paper, a mathematical model of the studied microgrid was developed in MATLAB /SIMULINK. The simulation results in different scenarios confirm that the accuracy of the proposed strategy comparing results to some algorithms for optimal gains values of PI controller.