Implementation of Artificial Intelligence and Line Optimization Algorithm based Multi-Level Inverter for Grid tied PV System

In general, multilevel inverter plays a key role in present high and medium power operations. This research presents a Grid-connected PV system layout with multilayer inverters. To improve the performance of the PV system, a mathematical analysis is employed to build it, and an MPPT-based dc-dc boost converter is used. The distribution power system’s industrial loads are managed by non-sinusoidal and non-periodic current power electronics converters. Because the voltage/current wave shape is damaged, the real power flow from the distributed system to the load is reduced, which increases line losses. As a result, reactive power must be injected into the system from an external device in order to rectify the current waveform towards sinusoidal and so maximize the real power flow in the distribution system. This paper proposes the implementation of new 51-levelmultilevel inverter for grid tied PV system also help to control the active and reactive powers effected due to sudden changes in the system. A closed loop controller with grid and inverter currents is designed to control the powers. In this a comparative analysis is done between fuzzy controller and LOA optimization techniques.