Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electrical Power and Machines

A modeling of the PV is introduced to study its electrical characteristics under normal and at faulty conditions such as short circuit and partial shadow faults. Also a proposed intelligent fault detection and diagnosis technique based on fuzzy logic is introduced. A microgrid system composed of PV source, energy storage systems and DC load; is modeled by using matlab / simulink simulation tools. A proposed modified perturb and observe algorithm is introduced to track the maximum power point. The proposed method is compared with fuzzy logic maximum power point tracking. The simulation results show that the two algorithms are nearly the same. Also a proposed energy management controller for the adopted microgrid is introduced to control the power sharing among the power source, the energy storage systems and the load. This controller has the ability to select the suitable energy storage element to be charged or discharged according to the environmental conditions and the load power demand. The proposed controller stabilizes the output voltage at the reference voltage also decreases the voltage change during the transient periods. An experimental study on a lab scale is executed to verify some of the simulation results of the proposed maximum power point tracking algorithm

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