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The main concerns with electrical distribution networks are the degradation of power quality. The main culprit behind this problem is non-linear technology, specifically switching devices and power electronics converters. Power supply efficiency, system efficacy, power factor loss, etc. Are all adversely impacted by non- linearity. It is necessary to compensate for the reactive power since it has increased as a result of the power factor drop and does not contribute to the transmission of energy. In this project, Artificial Intelligence based controllers have been proposed for improving Power Quality in Grid connected Distribution System. This is used to reduce the harmonics of current and other correlated power quality issues caused by reactive power. With the aid of the MATLAB/ SIMULINK toolkit, these control approaches are to be simulated. In this paper, we examine whether ANN or ANFIS is the most appropriate method.

This paper presents a review of DSTATCOM Topologies and power quality control Techniques. The used topologies are Three-phase Three-wire and Three-phase four-wire and control techniques are Instantaneous reactive power theory(IRP), Synchronous Reference Frame Theory(SRF), Model Predictive Control (MPC), Sliding mode control(SMC), Adaptive Neuro-fuzzy interface systems(ANFIS) and Artificial intelligence based controllers. These control techniques are used to mitigate the reactive power compensation, load balancing, Neutral current compensation, harmonics reduction and maintains the Total harmonic Distortion in IEEE519 standards. Performance investigated in Single-phase Distribution systems by connecting with STATCOM and without DSTATCOM in MATLAB/SIMULINK