• Mrs. KUMMARI MOUNIKA
• Mrs. K.VANITHA

The presence of harmonics in solar Photo Voltaic (PV) energy conversion systems results in the deterioration of power quality. To address such an issue, this paper aims to investigate the elimination of harmonics in a solar-fed cascaded Multilevel inverter with aid of Proportional Integral (PI), Artificial Neural Network (ANN) based controllers. The inverter can have a significant impact on the overall performance of the CMLI, including maximum power point (MPP) tracking, total harmonic distortion (THD), and efficiency. Multilevel inverters are one of the most promising classes of converters that offer a low THD. In this paper, we propose a new multilevel inverter topology with the motivation to improve all three aforementioned aspects of performance. The proposed topology is controlled through ANN, which is state-of-the-art in control techniques. We compare the performance of the proposed topology with the topologies reported in the literature. The proposed topology offers one of the best efficiency, MPP tracking, and voltage THD. At full load, the standalone system successfully delivers 97.21% of the theoretical maximum power. Additionally, CC is incorporated to mitigate voltage spikes at the output when supplying power to inductive loads. It successfully eliminates the spikes and also reduces the total harmonic distortion (THD) of output current and voltage from more than 10% to less than 5%, as recommended in IEEE 519 standard.

Multi-level inverter, photovoltaic (PV) system, maximum power point, voltage regulator, capacitor compensator (CC).

"THD MITIGATION IN THE PV SYSTEM BY USING A CASCADED MULTILEVEL INVERTER BY THE ANN TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 11, page no.a287-a296, November-2022, Available :http://www.jetir.org/papers/JETIR2211036.pdf

"THD MITIGATION IN THE PV SYSTEM BY USING A CASCADED MULTILEVEL INVERTER BY THE ANN TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 11, page no. ppa287-a296, November-2022, Available at : http://www.jetir.org/papers/JETIR2211036.pdf