Artificial Intelligence technique governed robust fuzzy controller for microgrid frequency control

Abstract

The microgrids are most reliable and digital grid which offers power at good frequency and voltage level. The grid is normally located at the distribution level and able to generate electrical energy with penetrating different renewable source based generating units. The renewable energies such as wind power, solar energy, tidal power, geothermal power are now most convenient source to produce electricity. The limitations of renewable power generating plants are uncertainty in wind velocity and variation in the solar radiation power. These uncertainties produces abnormal in the microgrid frequency and also in voltage. This article has employed a noble fuzzy PID approach to manipulate frequency oscillation issues under such uncertainties. The controller is also implemented to maintain standard frequency environment under frequency load dynamic issues. Further, the controllability in this proposed fuzzy techniques is evaluated on few standard methods like PID & PID approaches by different results and responses. The research has also applied an advanced whale optimization algorithm (A-WOA) to get most fit parameters of the controller. Finally, the effective action of the suggested A-WOA technique over PSO and GA has been synthesized to validate superiority of the proposed algorithm.