skip to main content
10.1145/3286606.3286820acmotherconferencesArticle/Chapter ViewAbstractPublication PagessmartcityappConference Proceedingsconference-collections
research-article

Nonlinear Control of Wind Energy Conversion System Involving DFIG

Authors Info & Claims
Published:10 October 2018Publication History

ABSTRACT

This paper presents a nonlinear control method for wind energy conversion systems (WECS), involving doubly fed induction generator (DFIG) fed by IGBT-based buck-to-buck rectifier inverter. The main control objective is to maximize wind energy extraction which cannot be achieved without letting the wind turbine rotor operate in variable speed mode. A multiloop nonlinear controller is designed to meet two main control objectives, (i) speed reference optimization in order to extract a maximum wind energy whatever the wind speed, and (ii) power factor correction (PFC) to avoid net harmonic pollution. A multiloop nonlinear controller is synthesized using the backstepping design. A formal analysis based on Lyapunov stability is carried out to describe the control system performances. In addition to closed-loop global asymptotic stability, it is proven that all control objectives (rotor speed tracking, regulation of stator flux, DC link voltage regulation and unitary power factor) are asymptotically achieved.

References

  1. J.F. Manwell, J.G. McGowan and A.L. Rogers, "Aerodynamics of Wind Turbines,", Wind Energy Explained Theory, Design and Application. 2002.Google ScholarGoogle ScholarCross RefCross Ref
  2. K.Kerrouche, A. Mezouar, Kh. Belgacem, "Decoupled Control of Doubly Fed Induction Generator by Vector Control for Wind Energy Conversion System,", Energy Procedia 2013.Google ScholarGoogle Scholar
  3. F.Poitiers, T.Bouaouiche, M.Machmoum? "Advanced control of a doubly fed induction generator for wind energy conversion,". Electric Power Systems Research 2009.Google ScholarGoogle Scholar
  4. Abderrahim El Fadili, Fouad Giri, and Abdelmounime El Magri, "chapter 2: Control Models for Induction Motors. AC Electric Motors Control Advanced Design Techniques and Appilcations,".Google ScholarGoogle Scholar
  5. A. El Magri, F. Giri, G. Besanc-on, A. El Fadili, L. Dugard, F.Z. Chaoui, "Sensorless adaptive output feedback control of wind energy systems with PMS generators,", Control Engineering Practice 2013.Google ScholarGoogle Scholar
  6. Abdelmounime El Magri, Fouad Giri, Abdelmajid Abouloifa, Fatima Zara Chaoui, "Robust control of synchronous motors through AC/DC/AC converters,". Control Engineering Practice.Google ScholarGoogle Scholar
  7. Rachid Lajouad, Abdelmounime El Magri, Abderrahim El Fadili, Fatima-Zahra Chaoui, and Fouad Giri, "Adaptative nonlinear control of wind energy conversion system involving induction generator,". Asian Journal of Control 2015.Google ScholarGoogle ScholarCross RefCross Ref
  8. Khalil, Hassan K and Grizzle, "Nonlinear Systems,", vol.3. Prentice hall Upper Saddle River, 2002.Google ScholarGoogle Scholar
  9. J.F. Manwell, J.G. McGowan and A.L. Rogers, "Aerodynamics of Wind Turbines,", Theory Design and Application, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  10. Badre Bossoufi, Mohammed Karim, Ahmed Lagrioui, Mohammed Taoussi, Aziz Derouich, "Observer backstepping control of DFIG-Generators for wind turbines variable-speed: FPGA-based implementation", Renewable Energy 81 (2015).Google ScholarGoogle Scholar
  11. A. El fadili, F. Giri, A. El Magri, L. Dugard, "Nonlinear Controller for Doubly Fed Induction Motor with Bi-Directional AC/DC/AC Converter,", Chapter 13, AC electric motors control advanced design techniques and applications.Google ScholarGoogle Scholar
  12. Y. Bekakra, D. Ben Attous, "Speed and flux control for DFOC of doubly fed induction machine,", Acta Electrotechnica et Informatica, 2010.Google ScholarGoogle Scholar
  13. Yifang Liua, Zhijie Wangb, Linyun Xiongc, Jie Wangc, Xiuchen Jiangc, Gehao Baic, Renfu Lia, Sanming Liu, "DFIG wind turbine sliding mode control with exponential reaching law under variable wind speed,", Electrical Power and Energy Systems 98 (2018) 253--260.Google ScholarGoogle ScholarCross RefCross Ref

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Other conferences
    SCA '18: Proceedings of the 3rd International Conference on Smart City Applications
    October 2018
    580 pages
    ISBN:9781450365628
    DOI:10.1145/3286606

    Copyright © 2018 ACM

    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 10 October 2018

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • research-article
    • Research
    • Refereed limited

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader