Power electronics plays an important role in controlling

the grid-connected renewable energy sources. This paper

presents a novel adaptive neuro-fuzzy control approach for

the renewable interfacing inverter. The main objective is to

achieve smooth bidirectional power flow and nonlinear unbalanced

load compensation simultaneously, where the conventional

proportional-integral controller may fail due to the rapid change

in the dynamics of the highly nonlinear system. The combined

capability of neuro-fuzzy controller in handling the uncertainties

and learning from the processes is proved to be advantageous

while controlling the inverter under fluctuating operating conditions.

The inverter is actively controlled to compensate the harmonics,

reactive power, and the current imbalance of a three-phase

four-wire (3P4W) nonlinear load with generated renewable power

injection into the grid simultaneously.