Maximum Power of PV Cells Using Fuzzy Control

Abstract

Since 2006, power generation sector faced several obstacles with limited output of Gaza Power Plant and fixed imports from Israel and Egypt. The demand keeps increasing annually while the supply is either fixed or decreased. Thus, there is a need for alternative power sources for emergency cases as hospitals and medical centers. The shortage in electric power, forced hospitals and medical centers to run their own generation units when fuel is available; creating more pollution and noise. This paper proposes replacing diesel generator by solar photovoltaic (PV) cells as a backup system, and a batterybank as a storage system. Such system is expected to: satisfy the load demands, minimize the costs, maximize the utilization of renewable sources, optimize the operation of battery-bank which is used as backup unit, and reduce the environment pollution emissions. This paper proposes a methodology to maximize power of a PV grid connected system by optimizing the performance of the inverter. A fuzzy logic controller is proposed to control a DC/AC inverter that forces the photovoltaic array to deliver its maximal power for any value of solar insolation rapidly. Results shows improvement in the system performance using fuzzy logic control and the PV is capable of feeding the load with the required energy and charges the battery with its demands.