Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3372938.3372992acmotherconferencesArticle/Chapter ViewAbstractPublication PagesbdiotConference Proceedingsconference-collections
research-article

DFIG-Based Wind Turbine Robust Control: Using High-Order Sliding Mode and a Kalman Observer

Published: 07 January 2020 Publication History

Abstract

This paper deals with the power generation control in variable speed wind turbines. In this context a vectorial control for oriented stator flux for doubly feed-generator has been developed. It uses a super twisting algorithm. The proposed control strategy combines an MPPT using a Kalman observer and second-order sliding mode for the DFIG control. The simulation describes the effectiveness of the control strategy adopted. For random wind speed profile, we get perfect convergence of the electromagnetic torque and cancellation of the reactive power to the stator. The unit cos φ and the rate of distortion obtained improves the quality of the currents generated on the network and optimizes the efficiency of the conversion chain.

References

[1]
Mustapha Elyaqouti, Safa Hakim, Sadik Farhat, Lahoussine Bouhouch, and Ahmed Ihlal, "Implementation in Arduino of MPPT Using Variable Step Size P&O Algorithm in PV Installations," International Journal of Power Electronics and Drive System (IJPEDS), vol. 8, no. 1, pp. 443, Mar. 2017.
[2]
Youssef Majdoub, Ahmed Abbou, Mohamed Akherraz, Rachid El Akhrif, "Design of an Improved MPPT Control of DFIG Wind Turbine under Unbalanced Grid Voltage using a Flux Sliding Mode Observer," International Journal of Power Electronics and Drive System (IJPEDS), vol. 8, no. 4, pp. 1723--1731, Dec. 2017.
[3]
H. Becheri, I. K. Bousarhanne, A. Harrouz, H. Glaoui, T. Belbekri, "Maximum Power Point Tracking of Wind Turbine Conversion Chain Variable Speed Based on DFIG," International Journal of Power Electronics and Drive System (IJPEDS), vol. 9, no. 2, pp. 527--535, Jun. 2018.
[4]
Dwiana Hendrawati1, Adi Soeprijanto, Mochamad Ashari, "High Performance Maximum Power Point Tracking on Wind Energy Conversion System," International Journal of Power Electronics and Drive System (IJPEDS), vol. 8, no. 3, pp. 1359--1367, Sep. 2017.
[5]
Valenciaga, F. Second order sliding power control for a variable speed constant frequency energy conversion system', Energy Convers. Manage., 2010, 51, (12), pp. 3000--3008.
[6]
Beltran B. et al. Sliding mode power control of variable speed wind energy conversion systems. IEEE Trans. Energy Conversion, vol. 23, n°2, pp. 551--558, June 2008.
[7]
Boukhezzar B. et al. Multivariable control strategy for variable speed variable pitch wind turbine. Renewable Energy, vol. 32, pp. 1273--1287, 2007.
[8]
Khalili H.K. High-gain observers in nonlinear feedback control. in Proceedings of the ICCAS'08, Seoul (Korea), October 2008.
[9]
Lingling Fan, Zhixin Miao, Xin Wang "Sensorless Maximum Power Point Tracking in Multi-Type Wind Energy Conversion Systems. Joint48th IEEE Conference on Decision and Control and28th Chinese Control Conference Shanghai, P.R. China, December 16-18, 2009.
[10]
G. Salloum, "Contribution: 't la Commande de la Machine Asynchrone:'t Double Alimentation", These de Doctorat en Genie Electrique, Institut National Polytechnique de Toulouse, France, 2007.
[11]
Beltran B, Benbouzid MEH, Tarek Ahmed-Ali, Herve Mangel (2011)"DFIG-based wind turbine Robust Control Using High-Order Sliding Modes and a High Gain Observer" IREMOS International Review on
[12]
Modelling & Simulations; Jun2011, Vol. 4 Issue 3, pl148 Weng, Y.T., Hsu, Y.Y.: 'Sliding mode regulator for maximum power tracking and copper loss minimisation of a doubly fed induction generator', IETRenew. Power Gener., 2015, 9, (4), pp. 297--305
[13]
Beltran, B., Ahmed-Ali, T., Benbouzid, M.E.H.: 'Sliding mode power control of variable-speed wind energy conversion systems', IEEE Trans. Energy Convers., 2008, 23, (2), pp. 551--558.
[14]
Susperregui, A., Jugo, J., Lizarraga, I., et al.: 'Automated control of doubly fed induction generator integrating sensorless parameter estimation and grid synchronisation', IET Renew. Power Gener., 2014, 8, (1), pp. 76--89.
[15]
Martinez, M.I., Susperregui, A., Tapia, G., et al.: 'Sliding-mode control of awind turbine-driven double-fed induction generator under non-ideal grid voltages', IET Renew. Power Gener., 2013, 7, (4), pp. 370--379
[16]
F.D. Bianchi, H. de Battista and R.J. Mantz, Wind Turbine Control Systems. Principles, Modelling and Gain Scheduling Design. London: Springer 2007.
[17]
B. Beltran, T. Ahmed-Ali and M.E.H. Benbouzid, "High-order sliding mode control of variable speed wind turbines," IEEE Trans. Industrial Electronics, vol. 56, n°9, pp. 3314--3321, September 2009.
[18]
Y. Amirat, M.E.H. Benbouzid, B. Bensaker and R. Wamkeue, "The state of the art of generators for wind energy conversion systems," Electromotion, vol. 14, n°4, pp. 163--172, October December 2007.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
BDIoT '19: Proceedings of the 4th International Conference on Big Data and Internet of Things
October 2019
476 pages
ISBN:9781450372404
DOI:10.1145/3372938
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: 07 January 2020

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Doubly-Fed Induction Generator (DFIG)
  2. Kalman observer
  3. MPPT
  4. Second-order sliding mode
  5. Wind turbine

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

BDIoT'19

Acceptance Rates

BDIoT '19 Paper Acceptance Rate 75 of 136 submissions, 55%;
Overall Acceptance Rate 75 of 136 submissions, 55%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 41
    Total Downloads
  • Downloads (Last 12 months)2
  • Downloads (Last 6 weeks)0
Reflects downloads up to 09 Nov 2024

Other Metrics

Citations

View Options

Get Access

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media