ADAPTIVE NEURO FUZZY INFERENCE SYSTEM CONTROLLER FOR ISLANDED MICROGRID UNDER NONLINEAR LOAD CONDITIONS

The main aim of this project is Adaptive neuro fuzzy inference system (ANFIS) controller for islanded microgrid under nonlinear balanced/unbalanced load conditions. This article introduces a new control scheme for the independent process of the microgrid containing of DG units for electronic coupling. The DG units are attached to a common connection point and provide supply to unbalanced and nonlinear loads. In the field of system topology & constraints of the load is normally unknown. The current at load is assumed to be computable and minimal. Adaptive neuro fuzzy controller used for controlling the DG unit for better performance and reduces the THD of DG voltage. In the DGs the DC source replaced by PV source for balancing the load demand. The MATLAB results show that despite various unbalanced and nonlinear load conditions, the proposed controller provides a number of sinusoidal, three-phase, equilibrium voltages.