@Article{iasc.2022.023093, AUTHOR = {S. Baskaran, Raghuraman Sivalingam}, TITLE = {Optimized Control of Single Phase Reboost Luo Converter Fed Grid-Connected PV System}, JOURNAL = {Intelligent Automation \& Soft Computing}, VOLUME = {33}, YEAR = {2022}, NUMBER = {2}, PAGES = {1103--1119}, URL = {http://www.techscience.com/iasc/v33n2/46753}, ISSN = {2326-005X}, ABSTRACT = {An epic topology of PV system for 1Ф grid tied framework with high gain altered Re Boost Luo converter is developed. In this epic topology, the PV (Photovoltaic) system is connected with single phase network via a Re Boost Luo converter and Voltage Source Inverter. The voltage variance issues of PV framework are overwhelmed by extricating most extreme power from the array. The Whale Optimization is utilized to extract the vast majority of the power from photovoltaic array. Similar to the existing topology, the proposed scheme is designed using reference casings of direct and quadrature hub components. The Re Boost Luo converter acquires the benefits contrasted with traditional DC-DC converter scheme. The Whale Optimization Algorithm based closed loop control logic gives magnificent execution under different testing conditions and the results are compared with Fuzzy based calculation. The PWM (Pulse Width Modulation) generator is utilized for triggering the inverters and converter. The Re boost Luo converter switches are made from silicon carbide to diminish the exchanging misfortunes better than traditional switches. Unfaltering state and momentary reaction of the controller are examined to know the excellence of the proposed novel system. Thus a high voltage gain is attained through the proposed converter and control algorithm. The grid current synchronization is accomplished via ANN (Artificial Naural Natwork) controller so that the THD (Total Harmonic Distortion) is reduced to fulfill the IEEE standard. Thus the proposed framework decreases the power quality issue of 1Ф grid system fed by the PV system. The outcomes are verified with Matlab recreation tool and DSPIC30F2010 controller.}, DOI = {10.32604/iasc.2022.023093} }