Abstract
Large frequency fluctuations are caused by the highly intermittent energy from renewable energy sources (RES) as well as the load disturbances of an autonomous microgrid (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.
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