Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/343319
Title: Design and implementation of optimizationBased control for wind energy conversionSystem under various wind speedConditions
Researcher: Jasmine Gnana Malar A
Guide(s): Ageeskumar C
Keywords: Engineering and Technology
Engineering
Engineering Electrical and Electronic
optimization
wind energy
University: Anna University
Completed Date: 2021
Abstract: India is a fast-developing country, and is aiming to reach unreachable heights in the fields of Research and Industrialism worldwide. India s achievements range from the sectors of economy to dominating nuclear and space researches. For all these achievements, power or electricity is the most needed and irreplaceable component. The power and energy resources available can be categorized as Renewable and Non-renewable energy resources. As everyone know many modern technologies and industrialization have leads to environmental degradation and pollutions, Engineers and Scientists all over the world are in constant search for renewable ideas that are both Eco-friendly and yield high power production. Wind energy contributes to the largest part of the total renewable energy when compared to other renewable resources.To work at this optimal ratio, Wind Energy Conversion System (WECS) is essential to adjust the power converter duty cycle and rapidly maximize the energy of wind in the system. In this research work, a Maximum Power Point Tracking (MPPT) controller is proposed to achieve utmost available wind power and the controller parameters are optimized by Fractional Order Darwinian Particle Swarm Optimization (FODPSO) based on Fuzzy Logic Controller (FLC) techniques. The proposed FODPSO tunes the FLC continuously for generate duty cycle and adjust the converter switches propositional to the variations in wind speed. This FODPSO technique used in the controller gives high speed and reliability as well as excellent accuracy to track maximum wind power. Proposed FODPSO-FLC extracts 20 % and 13% more power than existing FLC and PSO-FLC respectively. Finally Proposed FODPSO-FLC reduces 20 % and 9% THD than existing FLC and PSO-FLC respectively.This research work describes the design and implementation of optimization based soft computing algorithm in real time of a pulse control for a wind energy conversion system newline
Pagination: xxv,189p
URI: http://hdl.handle.net/10603/343319
Appears in Departments:Faculty of Electrical Engineering

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02_certificates.pdf415.34 kBAdobe PDFView/Open
03_vivaproceedings.pdf919.37 kBAdobe PDFView/Open
04_bonafidecertificate.pdf495.05 kBAdobe PDFView/Open
05_abstracts.pdf65.33 kBAdobe PDFView/Open
06_acknowledgements.pdf588.54 kBAdobe PDFView/Open
07_contents.pdf43.42 kBAdobe PDFView/Open
08_listoftables.pdf24.19 kBAdobe PDFView/Open
09_listoffigures.pdf71.58 kBAdobe PDFView/Open
10_listofabbreviations.pdf9.22 kBAdobe PDFView/Open
11_chapter1.pdf533.32 kBAdobe PDFView/Open
12_chapter2.pdf322.15 kBAdobe PDFView/Open
13_chapter3.pdf1.06 MBAdobe PDFView/Open
14_chapter4.pdf708.07 kBAdobe PDFView/Open
15_chapter5.pdf698.54 kBAdobe PDFView/Open
16_conclusion.pdf296.1 kBAdobe PDFView/Open
17_references.pdf142.26 kBAdobe PDFView/Open
18_listofpublications.pdf61.3 kBAdobe PDFView/Open
80_recommendation.pdf427.12 kBAdobe PDFView/Open
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