• Vishwaprakash Babu
• CH.Swapna
• K.Sravani
• G.Sangeetha
• K.Rakesh

The power quality of solar photovoltaic (PV) energy conversion systems is harmed by harmonics. This research studies the elimination of harmonics in a solar-fed cascaded fifteen-level inverters using Proportional Integral (PI), Artificial Neural Network (ANN) and Fuzzy Logic (FL) based controllers to tackle this issue. In contrast to current methodologies, the FLC-based solution helps to reduce harmonic distortions in order to enhance power quality. Besides increasing power quality, this research also recommends offering output voltage control to keep voltage and frequency at the inverter output end compliance with grid connection regulations. An inverter with a 15-level cascade of PI, ANN, and FL controllers is modelled using the MATLAB/Simulink platform. A 3 kWp solar plant coupled to a multilayer inverter is created and presented to demonstrate the technology that is being proposed. All three solutions are put to the test via the use of output voltage control and measures for power quality.

Cascaded Multilevel inverter,Power quality, and Photovoltaic(PV)

"Power Quality Improvement by solar fed cascaded multilevel inverter with fuzzy logic based controller", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.i65-i72, June-2022, Available :http://www.jetir.org/papers/JETIR2206809.pdf

"Power Quality Improvement by solar fed cascaded multilevel inverter with fuzzy logic based controller", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppi65-i72, June-2022, Available at : http://www.jetir.org/papers/JETIR2206809.pdf