Abstract
Grid connected double stage photovoltaic (PV) system is proposed in this paper. The incremental conductance (INC) algorithm used to extract maximum power from PV array. The DC voltage of PV array grid tied converter is maintained by artificial neural network (ANN). The proportional integral (PI) controller is replaced by the ANN based algorithm. The artificial neural network based advanced current control (ANNACC) injects the required reactive current component, which shapes the balanced grid currents. Using this controller, the fundamental reference currents are estimated from nonlinear load currents. The grid current total harmonic distortion is brought down within the limit of the IEEE-519 standard. The feed-forward term of PV array improves the dynamic response of the controller. This ANN-based control enhances the transient behavior of the system, therefore, the settling time is reduced compared to other controllers. Moreover, the power quality issues such as load unbalancing, power factor correction and reduced harmonics in grid current, are mitigated. Simulated results show the satisfactory dynamic as well as in steady-state response. Moreover, it shows a comparisons between ANN based control with traditional control. On the other side, test results have shown the reactive power compensation with load balancing.
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