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http://hdl.handle.net/10603/301642
Title: | Mppt controlled qzsi based pv and wind energy conversion system |
Researcher: | Sathishkumar R |
Guide(s): | V. Malathi |
Keywords: | Wind energy Renewable Energy Sources Artificial Neural Network |
University: | Anna University |
Completed Date: | 2019 |
Abstract: | For the enormously increased power demand in the modern world the existing fossil fuel sources seem to be inadequate to meet the demands Hence it is necessary to switch over to use Renewable Energy Sources RES Besides the demand concerns the power generation from fossil fuels causes the environmental pollution prominently As a result the utilization of RES has been encouraged When RES is interconnected with the grid this system becomes an excellent solution to fulfill the power demand of present scenario The energy generated from the renewable energy sources vary according to the seasonal variations The power generated from RES can be delivered to the load by interconnecting it with the grid When a small size RES system is connected with the distribution network it can deliver energy to the isolated zones where the energy cannot be drawn from the conventional network A dual configuration for integrating the wind and the solar with the grid has been proposed in this thesis based on the single and the dual stages In the first work the Quasi Z Source Inverter qZSI based Photo Voltaic PV source integration with the grid is carried out In order to extract maximum power from PV an Artificial Neural Network ANN based Maximum Power Point Tracking MPPT scheme has been introduced in this work Also a bi directional charger is introduced to overcome the battery issues The model is simulated in MATLAB SIMULINK software The performance of the system is analysed by applying different voltage levels to qZSI The voltage gain efficiency of system MPP tracking and the regulation of the voltages are observed newline |
Pagination: | xxi,160p. |
URI: | http://hdl.handle.net/10603/301642 |
Appears in Departments: | Faculty of Electrical Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf.pdf | Attached File | 24.75 kB | Adobe PDF | View/Open |
02_certificates.pdf.pdf | 352.96 kB | Adobe PDF | View/Open | |
03_abstracts.pdf.pdf | 7.68 kB | Adobe PDF | View/Open | |
04_acknowledgements.pdf.pdf | 5.14 kB | Adobe PDF | View/Open | |
05_contents.pdf.pdf | 32.21 kB | Adobe PDF | View/Open | |
06_list_of_tables.pdf.pdf | 5.48 kB | Adobe PDF | View/Open | |
07_list_of_figures.pdf | 25.17 kB | Adobe PDF | View/Open | |
08_list_of_abbreviations.pdf | 11.44 kB | Adobe PDF | View/Open | |
09_chapter1.pdf.pdf | 307.58 kB | Adobe PDF | View/Open | |
10_chapter2.pdf.pdf | 1.18 MB | Adobe PDF | View/Open | |
11_chapter3.pdf.pdf | 1.13 MB | Adobe PDF | View/Open | |
12_chapter4.pdf.pdf | 1.42 MB | Adobe PDF | View/Open | |
13_chapter5.pdf.pdf | 1.03 MB | Adobe PDF | View/Open | |
14_conclusion.pdf.pdf | 91.42 kB | Adobe PDF | View/Open | |
15_references.pdf.pdf | 128.08 kB | Adobe PDF | View/Open | |
16_list_of_publications.pdf | 67.8 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 148.9 kB | Adobe PDF | View/Open |
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