د/على محمد احمد التملى

The List of Funded Projects

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No.	Project Title	Funded By	Total Fund
2	Digital Implementation of Smart Maximum Power Point Tracker for Photovoltaic System	Sabic Company	SR 50,000
Committee: Dr.   Ali M. Eltamaly    (Principal Investigator )
Summary   Photovoltaic, PV systems has many applications as in space satellites and orbital stations, solar vehicles, power supply for loads in remote areas, and street lighting systems. PV is environmental friendly compared to current level of CO2 emission associated with conventional electricity generation. A considerable contribution from PV sources could reduce substantially the emission of CO2 and the low level of other pollutants that cause acid rain, smog and other local environmental hazards. Moreover PV enhances diversity in energy supply markets and strengthens energy security and contributes to the securing of long term, cost-effective environmentally sustainable energy supplies. The power generated from PV energy system depends on its terminal voltage. By using maximum power point tracker, MPPT to track the maximum power point, MPP by varying the terminal voltage increases the generated energy from PV system about 30%. MPPT must be fast to track the MPP effectively and smart to avoid divergence in fast changing in irradiance or temperature. Fuzzy controller system can provide smart MPPT. Implementation of fuzzy controller on modern and fast tool like FPGA can provide fast and smart control. So, in this paper FPGA has been used to implement fuzzy controller to force the PV to work around MPP. The PV system is connected to boost converter to control its terminal voltage. Simulation of the MPPT system will be introduced by using modern simulation tool as PSIM or Matlab programs. Hardware implementation of the digital system will be introduced by using FPGA. Hardware implementation of boost converter will be introduced to control the voltage of PV system.    v  Research Problem:  The power generated from PV energy system depends on its terminal voltage. FPGA can build fuzzy controller to provide fast and smart MPPT for PV system.    v   Research Significance: The significance of this research comes from the importance of the need for PV energy source that will not harm the environment. The power generated from PV energy system can be increased about 30% with using MPPT system.    v   Research Objectives: 1-   Studying the different techniques used for MPPT. 2-   Simulating the PV energy system with and without the MPPT and demonstrate the benefits of using MPPT. 3-   Implementing smart and fast fuzzy MPPT controller using FPGA.    v   Research Methodology: 1-  Literature review on the different techniques of MPPT and suggesting the best one. 2-  Using PSIM program to simulate the system under study. Building a prototype of the digital fuzzy controller on FPGA and boost converter to validate the analytical results.