An Intelligent Parking Guidance and Information system by using image processing technique

Abstract: Nowadays, a great deal of research is being carried out to utilize the solar energy effectively through power electronics converters (conditioners) to meet the increasing demand for load. This paper proposes an experimental photovoltaic (PV) power conditioning system with line connection and islanding detection method (IDM). The conditioner consists of a flying capacitors inverter fed by a dc-dc boost converter. The boost converter is designed to step-up the PV voltage to the stable required dc level for direct grid feeding without using a line transformer. A new dSpace microcontroller-based weighted real-time digital predictive controller combined with a Slip Mode phase Shift (SMS) IDM is proposed. The predictive algorithm controls the output inverter current with unity power factor and extracts the maximum power from the PV solar panel. A Slip Mode phase Shift (SMS) IDM is used to detect the islanding. The proposed control algorithm is implemented in C language and computations are performed by a dSpace dS1104 microcontroller board.

Keywords: dSpace Microcontroller Board, Real-Time Digital Predictive Controller, Islanding Detection