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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 |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 24.11 kB | Adobe PDF | View/Open |
02_certificates.pdf | 415.34 kB | Adobe PDF | View/Open | |
03_vivaproceedings.pdf | 919.37 kB | Adobe PDF | View/Open | |
04_bonafidecertificate.pdf | 495.05 kB | Adobe PDF | View/Open | |
05_abstracts.pdf | 65.33 kB | Adobe PDF | View/Open | |
06_acknowledgements.pdf | 588.54 kB | Adobe PDF | View/Open | |
07_contents.pdf | 43.42 kB | Adobe PDF | View/Open | |
08_listoftables.pdf | 24.19 kB | Adobe PDF | View/Open | |
09_listoffigures.pdf | 71.58 kB | Adobe PDF | View/Open | |
10_listofabbreviations.pdf | 9.22 kB | Adobe PDF | View/Open | |
11_chapter1.pdf | 533.32 kB | Adobe PDF | View/Open | |
12_chapter2.pdf | 322.15 kB | Adobe PDF | View/Open | |
13_chapter3.pdf | 1.06 MB | Adobe PDF | View/Open | |
14_chapter4.pdf | 708.07 kB | Adobe PDF | View/Open | |
15_chapter5.pdf | 698.54 kB | Adobe PDF | View/Open | |
16_conclusion.pdf | 296.1 kB | Adobe PDF | View/Open | |
17_references.pdf | 142.26 kB | Adobe PDF | View/Open | |
18_listofpublications.pdf | 61.3 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 427.12 kB | Adobe PDF | View/Open |
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