Visvakarma, Ravi Kant (2018) Modeling of Distributed Maximum Power Point Tracking Photovoltaic System. MTech thesis.
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Photo voltaic installations in urban areas operate under uneven lighting conditions. For such a system to achieve its peak efficiency,each solar panel is connected in series through a micro-converter, a dc-dc converter that performs per-panel distributed maximum power point tracking (DMPPT). Normally solar panel have lower efficiency so to maximize the efficiency of PV cell we use MPPT controller, different technique are used to maximize power of PV cell like P & O Algorithm and Extremum seeking controller etc. The objective of this thesis is to design a compensator for the DMPPT micro-converter. And observe which one is batter in performance and reliable with speed and accuracy.
The output power of PV cell in generally low to make useful we use a boost converter so that voltage level increase upto certain value. A novel, systematic approach to plant modelling is presented for this system, together with a framework for characterizing the plant’s uncertainty.
Finally output of boost converter is apply in inverter and observe the output with both single phase inverter and three phase inverter with 180 degree conduction mode.and design of current mode PI controller for single phase PWM inverter. The controller is comprised of inductor current as the inner loop and voltage as outer feedback loop, to evaluate the performance of the designed controller objective of this thesis is to design a compensator for the DMPPT micro-converter.
The simulation of all system give the result which justify the theoretical data.
|Item Type:||Thesis (MTech)|
|Uncontrolled Keywords:||Perturbation and Observation; Extremum seeking controller; Boost converter; 180 degree conduction mode; PI controller; PWM inverter|
|Subjects:||Engineering and Technology > Electrical Engineering > Power Systems > Renewable Energy|
|Divisions:||Engineering and Technology > Department of Electrical Engineering|
|Deposited By:||IR Staff BPCL|
|Deposited On:||05 Feb 2019 15:55|
|Last Modified:||05 Feb 2019 15:55|
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