Abstract

Haitham Hassan Ibrahim
Fuzzy Controller for Maximum Power Point Tracking of a Photovoltaic System Employing DC-DC Converter
Recently, most countries seek for developing alternative sources of energy due to rising prices of the energy and its availability. It has been successfully accomplished using the renewable energies such as wind, hydro, geothermal, and solar power. These energies are clean, free, and inexhaustible. Recent world energy plans have been proposed for solar power to end the world dependence on oil by 2050. The photovoltaic (PV) system is used either as a stand-alone system such as street lighting, electric vehicles, space applications, etc. grid connected in power plants. This thesis shows the output power from the PV arrays depending on the solar irradiance, the temperature and the connected load. It is desired to track the maximum power from the PV arrays to increase its efficiency. The different MPPT techniques are also proposed in this thesis to continuously track the maximum power from the PV array. The differences between these MPPT algorithms are the ease of implementation, the cost, the required sensors, the effectiveness and the speed response to track the maximum power. This thesis provides a practical and simulation comparison between different MPPT algorithms. A dc-dc converter is used to maintain the connected load operating at the maximum power extracted from the PV array, without affecting to the connected load change and under operating atmospheric conditions. This power converter is connected between the PV array and the connected load. This thesis also contains a conclusion for most common used MPPT techniques and the future work that may be done in the future.