Fuzzy Logic-Controlled Nine-Level Inverter for Solar PV Integrated Grid-Connected Bidirectional EV charging

This paper presents a fuzzy logic controller (FLC) for a grid-connected Nine-level inverter integrating a Solar photovoltaic (PV) source and a bidirectional electric vehicle (EV) battery. Conventional PI controllers perform well under fixed operating conditions, but their performance may be affected by rapid changes in solar irradiance, nonlinear loads, and EV battery charging or discharging conditions. To overcome these limitations, a fuzzy logic controller is used to provide better control under changing and discharging operating conditions without depending entirely on an accurate mathematical model. The suggested system employs fuzzy control for maximum power point tracking (MPPT), battery integration, and inverter management, with nine-level inverter functioning as an active filter to attenuate harmonics produced by non-linear loads. The system performance was evaluated based on THD, settling time, overshoot, and response to variations in irradiance and load. Compared with conventional PI control, the simulation results show that the proposed controller reduces the grid current THD to 1.14%, providing a faster MPPT response, lower current distortion, smoother battery charging and discharging and providing lower harmonic distortions, and increase in power quality. The integrated PV, nine-level inverter, and EV battery system can therefore be considered for grid-connected renewable energy systems, microgrids, smart grid applications, and V2G or G2V operations.