الفهرس 
CHAPTER1 Abriefintroductiontothethesisthenthemotivations,Objectives,andthethesiscon tribution.Only 14 pages are availabe for public view
 |  | from | 81 |  |  |
| | | from | 81 | | |
Abstract
A comparative analysis isintroducedin this thesis among three altered controllers (PI, Fuzzy, and Fuzzy-PI)for a 9.1 kWgrid-connected scheme. This scheme is designed by using Simulink to test the recommended controllersunder the theoretical operating conditions for a household-sized PV (Photovoltaic)system. The currentstudy compares between the three controllers andgoes to select the better controller for amelioration the performance of the grid-connected system control. The studydetermines that the Fuzzy-PI controller beats the other controllers regarding the performancefactorsintermsofdynamicresponse,totalharmonicdistortion,and overshoot and settlingtime. This is recognized to the fact that the values of thegains (KIandKP) are changed by theFuzzy-PIbasedon the variations in irradiance andtemperature.
One of the main sources of renewable energy is solar energy (PV system). This means that transformingthe solar energy intoelectricity is a very essential research topic. Low efficiencyand high cost are between the imperfections of PV systems. This stimulates scientists to achieve how toincrease the quality of renewable energy resources. Thecontrol of grid-connected inverter structures is a very important part of the transformation and transmissionof energy; so,they must be amelioration to see the loads for grid interconnection. The research thesispresents a design and the hardware implementation of aFuzzy-PI which is an intelligent controller for theinverter controller to minimize the inverter total harmonic distortion and synchronize with the grid. First, the research thesis explains the Simulinkdesignof thethree-phaseFuzzy-PI controller.Next,this thesisdiscussesaMatlabGUIimplementedtodesignanygrid-connectedinverterthatisusefulinsizingPVsystems.Thethesisfinallydiscussesthe generationcodeoftheFuzzy-PIcontrollerfromtheMatlabSimulinkModel,thehardwarecomponents,andthehardwareimplementation of the system in the lab experiment. A 70 Wprototype is used in the hardware implementation, to test the study controller, trying to be as nearer as possible to reality devoid oftaking major dangers or getting into security apprehensions in case of doing experiments on the systems of high power. 70 W prototype systemsprove that the controller prototypical could be directly transformed fromSimulink to the control scheme. It also proves that the Fuzzy-PI controller is working correctly usingthe 70 Wprototypes. Once this is established, the idea can be applied to commercial systemswith proper funding. The results prove the effectiveness of the proposed Fuzzy-PI controller inachieving good performance and efficiency in hardware. The proposed methodology does notrequisite complex programming code. A Matlab coder is recommended to convert the Simulink controllerinto a C code which can be used in hardware implementation. The hardware outcomes show that therecommended methodology works and getstherequired C Code which is the essential conclusion. The Fuzzy-PI controller of the three-phase grid-connected inverter can be applied by usinglow-costconfigurablemicrocontrollers astheresults show inthelab.