UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 3
March-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1803004


Registration ID:
180543

Page Number

19-22

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Title

ADAPTIVE MAXIMUM POWER POINT TRACKING CONTROL ALGORITHM FOR WIND ENERGY CONVERSION SYSTEMS

Abstract

Wind energy systems are being closely studied because of its benefits as an environmentally friendly and renewable source of energy. Because of its unpredictable availability, power management concepts are essential to extract as much power as possible from the wind when it becomes available. The proposed control algorithm allows the generator to track the optimal operation points of the wind turbine system under fluctuating wind conditions and the tracking process speeds up over time. This algorithm does not require the knowledge of intangible turbine mechanical characteristics such as its power coefficient curve, power characteristic or torque characteristic. The algorithm uses its memory feature to adapt to any given wind turbine and to infer the optimum rotor speeds for wind speeds that have not occurred before. This project proposes a new Maximum Power Point Tracking (MPPT) algorithm employed in Wind Energy Conversion Systems (WECS). One of the major issues discussed in the literature concerning HCS is its inefficiency in detecting the peak power when there is a change in wind •speed. In addition, the HCS produces oscillations in delivered power once this peak is detected. A modified HCS algorithm is proposed in this project to overcome these limitations. This algorithm employs a variable duty cycle to reduce the oscillations in delivered power once the peak power is detected. The performance of the proposed algorithm was evaluated using MATLAB/SIMULINK.

Key Words

Maximum power point tracking, hill climb search algorithm, tip speed ratio algorithm, power signal feedback algorithm, single-ended primary inductor converter (SEPIC) dc-dc converter.

Cite This Article

"ADAPTIVE MAXIMUM POWER POINT TRACKING CONTROL ALGORITHM FOR WIND ENERGY CONVERSION SYSTEMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 3, page no.19-22, March-2018, Available :http://www.jetir.org/papers/JETIR1803004.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"ADAPTIVE MAXIMUM POWER POINT TRACKING CONTROL ALGORITHM FOR WIND ENERGY CONVERSION SYSTEMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 3, page no. pp19-22, March-2018, Available at : http://www.jetir.org/papers/JETIR1803004.pdf

Publication Details

Published Paper ID: JETIR1803004
Registration ID: 180543
Published In: Volume 5 | Issue 3 | Year March-2018
DOI (Digital Object Identifier):
Page No: 19-22
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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