Design and Development of Maximum Power Point Tracking In Wind Power Optimization Using Fuzzy PLL Controller

Conference proceedings article

Authors / Editors

Ravi, Samikannu

Research Areas

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Publication Details

Author list: Govindaraj T, Ravi S, Balakrishnan PA

Place: NEW YORK

Publication year: 2013

Journal: 2013 IEEE INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN COMPUTING, COMMUNICATION AND NANOTECHNOLOGY (ICE-CCN'13) (2373-6739)

Journal acronym: INT C TREND COMPUT C

Start page: 384

End page: 389

Number of pages: 6

ISBN: 978-1-4673-5035-8

eISBN: 978-1-4673-5036-5

ISSN: 2373-6739

Languages: English-Great Britain (EN-GB)

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Abstract

This paper proposes an improved maximum power point tracking (MPPT) method for Wind system using a fuzzy with PLL algorithm. The main advantage of the method is the reduction of the steady state oscillation (to practically zero) once the maximum power point (MPP) is located. Furthermore, the proposed method has the ability to track the MPP for extreme environmental condition, e.g. large fluctuations of isolation and partial shading condition. The algorithm is simple and can be computed very rapidly. To evaluate the effectiveness of the proposed method, MATLAB simulations are carried out under very challenging conditions, namely step changes in irradiance, step changes in load and partial shading of wind array. The proposed method in simulation shows it is efficient than the conventional controllers in terms of achieving maximum wind power generation effectively with steady state output compared to other conventional controllers.

Keywords

Fuzzy Logic Controller, Maximum Power Point Tracking, Phase Locked Loop, Wind Energy Conversion

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