Dual-mode Operation Based Second-order Sliding Mode Control For Grid Connected Solar Photovoltaic Energy System

Dual-mode operation based second-order sliding mode control for grid connected solar photovoltaic energy system

Abstract:

This paper proposes an Adaptive Neuro Fuzzy Inference System (ANFIS) control technique for the grid-connected solar photovoltaic system. The proposed technique is tested under grid faults to meet the requirements of low-voltage ride through capability. A dual-mode control technique of the converter and inverter is designed to maintain the required dc link voltage regulation and the active-reactive power during grid fault. The ANFIS control technique is developed from the model of the grid connected to the converter and the dc-link. The proposed dual-mode control technique is validated using MATLAB/Simulink simulated three-phase grid-connected photovoltaic inverter system. Simulation results show that the control technique is quite effective in maintaining the dc-link voltage regulation and the power control. As it shows smooth transitions between the two modes of operation (normal and grid fault). Moreover, the sliding mode controller robust against unknown disturbances and uncertainties in the system.