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This paper proposed a hybrid technique based on power quality (PQ) enhancement in grid connected Photovoltaic (PV) system. The hybrid technique is the combined performance of both the Radial Basis Function Neural Network (RBFNN) and Proportional Integral (PI) controller. The primary intention of the proposed method is to predict the adaptive gain parameters for both the normal and abnormal environment in the grid side. In the proposed method, the RBFNN is trained with input parameters such as grid power variations and the target gain parameters of the PI controller. During the testing time, the RBFNN predicts the gain parameters of the PI controller as per the grid side parameter variation and the PQ of the grid side has been enhanced. Then the proposed method is implemented in the MATLAB/Simulink platform and the effectiveness is examined by comparison analysis with the conventional techniques. Keywords: PQ, RBFNN, PI controller, PV, Grid, Control signals