Artificial Neural Network Based Double Stage Grid Connected Solar Photovoltaic Supply System

Abstract

In this paper, an artificial neural network technique (ANN) is used for tracking of maximum power point (TMPP) of a solar photovoltaic panel based power supply (SPPBPS). A boost converter is interfaced between the photovoltaic (PV) panel and DC link of single-phase voltage source inverter (VSI). A synchronous reference Frame (SRF)-Phase-locked loop (PLL) is used to synchronize the VSI with the grid supply. The VSI control maintains constant DC bus voltage. An ANN based TMPP is proposed for double stage 1-phase VSI with LCL filter to ensure stable overall system performance, and controllability. A proportional resonant controller with harmonic compensator (HC) controls VSI current. The proposed system behavior is observed under real dynamic situations and found satisfactory.