• G. Sadwika
• G. P. Merlin

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. Perturb and observe algorithm (P&O) is used to track 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 analysed.

Photo voltaic (PV), Maximum power Point Tracking (MPPT), Perturb and observe algorithm (P&O), Unified Power Quality controller (UPQC), Artificial Neural Networks (ANN), Total Harmonics Distortion (THD).

"TOTAL HARMONICS DISTORTION (THD) AND UNBALANCE REGULATION OF GRID AND LOAD VOLTAGES BY PV TIED UPQC WITH ANN TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.d274-d283, March-2023, Available :http://www.jetir.org/papers/JETIR2303332.pdf

"TOTAL HARMONICS DISTORTION (THD) AND UNBALANCE REGULATION OF GRID AND LOAD VOLTAGES BY PV TIED UPQC WITH ANN TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppd274-d283, March-2023, Available at : http://www.jetir.org/papers/JETIR2303332.pdf