This paper proposes Four-Leg based Three-Phase Four-Wire Shunt Active Power Filter (4L3P4W SAPF) supply scheme tied with Photovoltaic arrangement (PV) employed using Incremental Conductance (INC) for maximum energy point tracking technique with shunt active power filter is linked at the point of common coupling (PCC) to a rectifier feed R-L nonlinear load. The 3P4W electrical system has been extensively used to deliver power to single-phase and/or three-phase loads. Power quality is a set of conditions or confines of electrical properties that allows electrical devices to function in their designed manner without loss of performance. There are many possible ways in which electric power can be of poor quality and many more causes and effects of such poor quality power. Preferably, the voltage is fed as a sinusoidal having a frequency and a magnitude given by the international standards or system specifications. Power quality disturbance is produced by the inverters and the converters. Three-phase four-wire SAPF compensates for reactive power, mitigates harmonics, power factor correction and neutral current. The proposed control technique combine together self-tuningfilter (STF) and direct-quadrature-zero (dq0) principle (referred here as STF-dq0), allowing the controlled shunt active power filter (SAPF) to perform effectively under distorted source voltages and unbalanced load conditions. Conventional controller tuning process is difficult and fails to perform satisfactorily under supply voltage variation conditions. In this paper, artificial neural network (ANN) controller is proposed to regulate DC link voltage due to its self-adapting and rapid calculation characteristics that allow the controller to handle high nonlinearity and uncertainty in a non-linear system. Weights of a neuron are adapted to minimize total harmonic distortion (THD) of source current. The proposed control system is simulated using MATLAB/Simulink environment.