Neuro-fuzzy control of a grid-connected photovoltaic system with power quality improvement

Abstract

This paper presents a Photovoltaic Active Power Line Conditioner, a device designed to extract the maximum power of a photovoltaic (PV) system and to compensate the nonlinear and unbalanced loads of the electrical power systems. The grid-connected PV systems require DC-DC and DC-AC power converters to maximize the generated PV power and to inject an AC current to the network. In this work, a neuro-fuzzy system to achieve the Maximum Power Point (MPP) and a fuzzy logic control loop to ensure the Maximum Power Point Tracking (MPPT) of the PV system connected at DC side are designed. The DC-AC power converter control strategy includes an active compensation of the non-linear and unbalanced loads connected to the electrical system. The performance of the PV conditioner with the neuro-fuzzy control designed has been analyzed through a simulation platform.