Neuro-fuzzy control system for grid-connected photovoltaic systems

摘要

The neuro-fuzzy control system for a grid-connected photovoltaic (PV) system includes an Adaptive Neuro-Fuzzy Inference System (ANFIS) implemented in real time. Independent active and reactive P-Q power control transfers the generated power to the grid using a voltage source inverter (VSI). The PV system includes a PV module, a buck converter, a VSI, a maximum power point tracking (MPPT) controller for the buck converter, and a VSI controller. The MPPT controller uses irradiation and temperature as inputs. A five-layer ANFIS processes these inputs and provides a control reference voltage as input to a PI controller connected to the buck converter to maintain the output voltage of the photovoltaic array with respect to the control reference voltage.