• Arsh Khan
• Shashwat Dhurandhar
• Rupendra Patel
• Mayank Nagwanshi
• Anubhav Satpathi

The newly developed Artificial Neural Network control method has been compared with PQ method in their harmonic mitigation capability. The simulation is simulated in the MATLAB/SIMULINK environment. A six-IGBT three phase voltage source inverter is used with a hysteresis controller as a Shunt Active Power Filter. Meanwhile, our ANN based model is developed from the data taken from the PQ method model, replacing the PI controller used in PQ method with ANN block. This comparison will give us an insight on the effectiveness of our new technique and its advantages and disadvantages. The adaptability and fault tolerance inherent in ANN alongside Shunt Active Power Filter can open doors to a new realm of research into harmonic mitigation. This paper is a first step in that direction, giving us a hint on what to improve in future. The simulation results indicate that artificial neural network can improve the performance of Shunt APF.

APF, SAPF, THD, IGBT, PCC, ANN, VSI, ML, AI

"PERFORMANCE EVALUATION AND COMPARISON OF ARTIFICIAL NEURAL NETWORK INTEGRATED SHUNT ACTIVE POWER FILTER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.g27-g43, April-2024, Available :http://www.jetir.org/papers/JETIR2404603.pdf

"PERFORMANCE EVALUATION AND COMPARISON OF ARTIFICIAL NEURAL NETWORK INTEGRATED SHUNT ACTIVE POWER FILTER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppg27-g43, April-2024, Available at : http://www.jetir.org/papers/JETIR2404603.pdf