Improvement of Power System Stability and Power Quality of Artificial Intelligent Controller Based Grid-Connected PV System Using Cascaded Multilevel Inverter

Abstract

AbstractIn the present scenario, the photovoltaic (PV)-based power generation is widespread in numerous countries due to friendly. The power electronics converters are playing a vital role in the PV power conversion system. Presently boost and buck-boost converters are used with the MPPT algorithm in the PV system, which has less conversion efficiency and also in a grid-integrated PV system to maintain the good power quality is a major problem. A fuzzy—MPPT controller was designed to control a super lift Luo converter—based PV system, and the super lift Luo converter was studied and simulated at different topologies and weather conditions to improve the PV system’s conversion efficiency, and a new Cascaded Multi Level Inverter (CMLI) with fuzzy controller is proposed here to minimize THD and achieve good power quality at PV—Grid integration. The new CMLI comes with a minimal range of solid-state switches and is most versatile for the PV system and can be worked on asynchronous voltage sources. The output standard of the proposed CMLI had improved in which total harmonic distortion (THD) is minimized and the PV system’s power efficiency had also improved. In a broad range of operating conditions, this theoretical PV model simulated under the MATLAB environment and its performance was analyzed. The proposed converter and MPPT algorithm are used by the artificial intelligent controller to grid integration of the PV system by way of a new CMLI to increase power quality and reliability. Finally, the simulation results of the proposed system are evaluated and verified with the IEEE 519 and 1547 standard for proving the usefulness of the proposed system.KeywordsPhotovoltaicMPPTFuzzyCascaded multilevel inverterTHD