Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/477404
Title: | A state of the art approach to extract maximum power from grid connected pv system in low irradiation and overcast conditions |
Researcher: | Arokiya Prasad P |
Guide(s): | Sivakumar P |
Keywords: | PV power generation MPPT technique Digital Twin Model |
University: | Anna University |
Completed Date: | 2023 |
Abstract: | Growing electrical demand is to be met dynamically through newlineconventional and non-conventional power sources. PV power generation plays a newlinevital role in this. Due to low irradiation and over cast weather conditions, newlineinstalled PV sources are not fully utilized. Many research papers were presented newlineto extract maximum power from PV using various MPPT techniques. This Paper newlinepresents a new idea of implementing a biased transformer to extract maximum newlinepower during above conditions. The proposed method uses a three winding newlinetransformer to provide sufficient biased voltage and current. The biased current newlineand voltage are obtained from grid and fed to the primary winding - 2 of the newlinethree winding transformer through the controller. Also, Three phase grid newlineconnected system extracts the maximum power using two virtual panels newlineconnected to the PV and the Digital Twin Model. The extracted maximum newlinepower is also utilized for standalone EV power stations. A 10Kw panel is newlinechecked for low irradiation and over cast weather condition using the biased newlineMPPT technique. The proposed method is compared with the conventional newlineIncremental conductance method with power, cost and efficiency analysis. newlineSimulation was carried out in MATLAP/Simulink software and experimentally newlineevaluated through a suitable hardware setup. newline |
Pagination: | xvi,122p. |
URI: | http://hdl.handle.net/10603/477404 |
Appears in Departments: | Faculty of Electrical Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 285.36 kB | Adobe PDF | View/Open |
02_prelimpages.pdf | 2.16 MB | Adobe PDF | View/Open | |
03_contents.pdf | 507.18 kB | Adobe PDF | View/Open | |
04_abstracts.pdf | 4.35 kB | Adobe PDF | View/Open | |
05_chapter1.pdf | 2.63 MB | Adobe PDF | View/Open | |
06_chapter2.pdf | 5.47 MB | Adobe PDF | View/Open | |
07_chapter3.pdf | 6.54 MB | Adobe PDF | View/Open | |
08_chapter4.pdf | 2.61 MB | Adobe PDF | View/Open | |
09-chapter5.pdf | 2.72 MB | Adobe PDF | View/Open | |
10_chapter6.pdf | 963.48 kB | Adobe PDF | View/Open | |
11_chapter7.pdf | 331.75 kB | Adobe PDF | View/Open | |
12_annexures.pdf | 2.39 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 234.75 kB | Adobe PDF | View/Open |
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