An Artificial Neural network-based Unified Power Quality controller (UPQC) is proposed in this paper. An unbalanced grid voltage and Load voltage are compensated by the UPQC in the single-phase power system. The Renewable energy source solar energy is connected to the grid. The perturb and observe algorithm (P&O) is used to track the Maximum power from the Solar panels. This system UPQC is used to compensate the supply voltage and load voltage at the same time in a power distribution network. The grid and load voltage unbalances are regulated, and the Total Harmonics Distortion (THD) of the grid and load voltages is controlled by the UPQC via an Artificial Neural Networks (ANN) controller. In MATLAB/Simulink, the results are simulated and analyzed.
Keywords : Photovoltaic, MPPT, P&O, Unified Power Quality Controller(UPQC), ANN, AI, THD.
Authors : KUPPIREDDY KRISHNA REDDY
Title : Total Harmonics Distortion and Unbalance Regulation of Power Grid and Load Voltages by Photovoltaic Tied UPQC with Artificial Neural Networks
Volume/Issue : 2022;4(1 (January - February))
Page No : 1 – 8
ISSUE: Volume 4 (2022) , Issue 1 (January - February) 
