Control of active and reactive power of grid connected inverter using adaptive network based fuzzy inference system (ANFIS)

Distributed generation (DG) is experiencing a rapid development as a new means of power generation. Power electronics systems can account for a significant part of the total capital cost of a typical DG system. In grid-connected DG systems, single-phase or three-phase pulse width modulation (PWM) voltage-source inverters (VSIs) are often used for synchronizing the utility grid with DG source in order to (i) regulate active reactive power control through voltage and frequency control (ii) power quality improvement. The current control of the grid-connected inverters plays a predominant role in feeding a grid with high quality power. In this paper, ANFIS control scheme is investigated to control active and reactive power fed into grid through three phase voltage source inverter to enhance the power quality and increase the dynamic performance. The average power control method provides high quality sinusoidal output current and controls the average power flow. ANFIS current controller is used to track reference current. The studied system is modeled and simulated in the MATLAB/Simulink environment and the results obtained are compared with conventional PI controller. The ANFIS based control shows better performance compared to PI current controller.