IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v5y2012i5p1398-1412d17739.html
   My bibliography  Save this article

A Novel Maximum Power Point Tracking Control for Permanent Magnet Direct Drive Wind Energy Conversion Systems

Author

Listed:
  • Ying Zhu

    (Department of Electrical Engineering, Southeast University, No 2 Si Pai Lou, Nanjing 210096, Jiangsu, China)

  • Ming Cheng

    (Department of Electrical Engineering, Southeast University, No 2 Si Pai Lou, Nanjing 210096, Jiangsu, China)

  • Wei Hua

    (Department of Electrical Engineering, Southeast University, No 2 Si Pai Lou, Nanjing 210096, Jiangsu, China)

  • Wei Wang

    (Department of Electrical Engineering, Southeast University, No 2 Si Pai Lou, Nanjing 210096, Jiangsu, China)

Abstract

This paper proposes a novel optimal current given (OCG) maximum power point tracking (MPPT) control strategy based on the theory of power feedback and hill climb searching (HCS) for a permanent magnet direct drive wind energy conversion system (WECS). The presented strategy not only has the advantages of not needing the wind speed and wind turbine characteristics of the traditional HCS method, but it also improves the stability and accuracy of MPPT by estimating the exact loss torque. The OCG MPPT control strategy is first carried out by simulation, then an experimental platform based on the dSPACE1103 controller is built and a 5.5 kW permanent magnet synchronous generator (PMSG) is tested. Furthermore, the proposed method is compared experimentally with the traditional optimum tip speed ratio (TSR) MPPT control. The experiments verify the effectiveness of the proposed OCG MPPT strategy and demonstrate its better performance than the traditional TSR MPPT control.

Suggested Citation

  • Ying Zhu & Ming Cheng & Wei Hua & Wei Wang, 2012. "A Novel Maximum Power Point Tracking Control for Permanent Magnet Direct Drive Wind Energy Conversion Systems," Energies, MDPI, vol. 5(5), pages 1-15, May.
  • Handle: RePEc:gam:jeners:v:5:y:2012:i:5:p:1398-1412:d:17739
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/5/5/1398/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/5/5/1398/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Arifujjaman, Md. & Iqbal, M.T. & Quaicoe, J.E., 2009. "Reliability analysis of grid connected small wind turbine power electronics," Applied Energy, Elsevier, vol. 86(9), pages 1617-1623, September.
    2. Abdullah, M.A. & Yatim, A.H.M. & Tan, C.W. & Saidur, R., 2012. "A review of maximum power point tracking algorithms for wind energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3220-3227.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yi Zhang & Hexu Sun & Yingjun Guo, 2020. "Integration Design and Operation Strategy of Multi-Energy Hybrid System Including Renewable Energies, Batteries and Hydrogen," Energies, MDPI, vol. 13(20), pages 1-25, October.
    2. Ewa Chomać-Pierzecka & Anna Sobczak & Dariusz Soboń, 2022. "Wind Energy Market in Poland in the Background of the Baltic Sea Bordering Countries in the Era of the COVID-19 Pandemic," Energies, MDPI, vol. 15(7), pages 1-21, March.
    3. Bo Li & Wenhu Tang & Kaishun Xiahou & Qinghua Wu, 2017. "Development of Novel Robust Regulator for Maximum Wind Energy Extraction Based upon Perturbation and Observation," Energies, MDPI, vol. 10(4), pages 1-21, April.
    4. Tania García-Sánchez & Arbinda Kumar Mishra & Elías Hurtado-Pérez & Rubén Puché-Panadero & Ana Fernández-Guillamón, 2020. "A Controller for Optimum Electrical Power Extraction from a Small Grid-Interconnected Wind Turbine," Energies, MDPI, vol. 13(21), pages 1-16, November.
    5. Mircea Neagoe & Radu Saulescu & Codruta Jaliu, 2019. "Design and Simulation of a 1 DOF Planetary Speed Increaser for Counter-Rotating Wind Turbines with Counter-Rotating Electric Generators," Energies, MDPI, vol. 12(9), pages 1-19, May.
    6. Ying Zhu & Ming Cheng & Haixiang Zang, 2017. "Sensorless Control for the EVT-Based New Dual Power Flow Wind Energy Conversion System," Energies, MDPI, vol. 10(7), pages 1-16, June.
    7. Feng Li & Xiaoyong Zhu, 2021. "Comparative Study of Stepwise Optimization and Global Optimization on a Nine-Phase Flux-Switching PM Generator," Energies, MDPI, vol. 14(16), pages 1-13, August.
    8. Longfu Luo & Xiaofeng Zhang & Dongran Song & Weiyi Tang & Jian Yang & Li Li & Xiaoyu Tian & Wu Wen, 2018. "Optimal Design of Rated Wind Speed and Rotor Radius to Minimizing the Cost of Energy for Offshore Wind Turbines," Energies, MDPI, vol. 11(10), pages 1-17, October.
    9. Héctor Zazo & Esteban Del Castillo & Jean François Reynaud & Ramon Leyva, 2012. "MPPT for Photovoltaic Modules via Newton-Like Extremum Seeking Control," Energies, MDPI, vol. 5(8), pages 1-15, July.
    10. Tripathi, S.M. & Tiwari, A.N. & Singh, Deependra, 2015. "Grid-integrated permanent magnet synchronous generator based wind energy conversion systems: A technology review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1288-1305.
    11. Akour, Salih N. & Al-Heymari, Mohammed & Ahmed, Talha & Khalil, Kamel Ali, 2018. "Experimental and theoretical investigation of micro wind turbine for low wind speed regions," Renewable Energy, Elsevier, vol. 116(PA), pages 215-223.
    12. Xiaolian Zhang & Can Huang & Sipeng Hao & Fan Chen & Jingjing Zhai, 2016. "An Improved Adaptive-Torque-Gain MPPT Control for Direct-Driven PMSG Wind Turbines Considering Wind Farm Turbulences," Energies, MDPI, vol. 9(11), pages 1-16, November.
    13. Emejeamara, F.C. & Tomlin, A.S. & Millward-Hopkins, J.T., 2015. "Urban wind: Characterisation of useful gust and energy capture," Renewable Energy, Elsevier, vol. 81(C), pages 162-172.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mérida, Jován & Aguilar, Luis T. & Dávila, Jorge, 2014. "Analysis and synthesis of sliding mode control for large scale variable speed wind turbine for power optimization," Renewable Energy, Elsevier, vol. 71(C), pages 715-728.
    2. Ademi, Sul & Jovanovic, Milutin, 2016. "Control of doubly-fed reluctance generators for wind power applications," Renewable Energy, Elsevier, vol. 85(C), pages 171-180.
    3. Yin, Xiu-xing & Lin, Yong-gang & Li, Wei & Gu, Ya-jing & Liu, Hong-wei & Lei, Peng-fei, 2015. "A novel fuzzy integral sliding mode current control strategy for maximizing wind power extraction and eliminating voltage harmonics," Energy, Elsevier, vol. 85(C), pages 677-686.
    4. Rocha, P. A. Costa & Rocha, H. H. Barbosa & Carneiro, F. O. Moura & da Silva, M. E. Vieira & de Andrade, C. Freitas, 2016. "A case study on the calibration of the k–ω SST (shear stress transport) turbulence model for small scale wind turbines designed with cambered and symmetrical airfoils," Energy, Elsevier, vol. 97(C), pages 144-150.
    5. Audierne, Etienne & Elizondo, Jorge & Bergami, Leonardo & Ibarra, Humberto & Probst, Oliver, 2010. "Analysis of the furling behavior of small wind turbines," Applied Energy, Elsevier, vol. 87(7), pages 2278-2292, July.
    6. Pasta, Edoardo & Faedo, Nicolás & Mattiazzo, Giuliana & Ringwood, John V., 2023. "Towards data-driven and data-based control of wave energy systems: Classification, overview, and critical assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    7. Phan, Dinh-Chung & Yamamoto, Shigeru, 2016. "Rotor speed control of doubly fed induction generator wind turbines using adaptive maximum power point tracking," Energy, Elsevier, vol. 111(C), pages 377-388.
    8. Wimhurst, Joshua J. & Greene, J. Scott, 2019. "Oklahoma's future wind energy resources and their relationship with the Central Plains low-level jet," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    9. Dixon, Christopher & Reynolds, Steve & Rodley, David, 2016. "Micro/small wind turbine power control for electrolysis applications," Renewable Energy, Elsevier, vol. 87(P1), pages 182-192.
    10. Emejeamara, F.C. & Tomlin, A.S. & Millward-Hopkins, J.T., 2015. "Urban wind: Characterisation of useful gust and energy capture," Renewable Energy, Elsevier, vol. 81(C), pages 162-172.
    11. Mojtaba Nasiri & Saleh Mobayen & Quan Min Zhu, 2019. "Super-Twisting Sliding Mode Control for Gearless PMSG-Based Wind Turbine," Complexity, Hindawi, vol. 2019, pages 1-15, April.
    12. Jin, Xin & Ju, Wenbin & Zhang, Zhaolong & Guo, Lianxin & Yang, Xiangang, 2016. "System safety analysis of large wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1293-1307.
    13. Rimkevicius, Sigitas & Kaliatka, Algirdas & Valincius, Mindaugas & Dundulis, Gintautas & Janulionis, Remigijus & Grybenas, Albertas & Zutautaite, Inga, 2012. "Development of approach for reliability assessment of pipeline network systems," Applied Energy, Elsevier, vol. 94(C), pages 22-33.
    14. Yang, Ting & Pen, Haibo & Wang, Dan & Wang, Zhaoxia, 2016. "Harmonic analysis in integrated energy system based on compressed sensing," Applied Energy, Elsevier, vol. 165(C), pages 583-591.
    15. Li, Xuyang & Qiu, Yingning & Feng, Yanhui & Wang, Zheng, 2021. "Wind turbine power prediction considering wake effects with dual laser beam LiDAR measured yaw misalignment," Applied Energy, Elsevier, vol. 299(C).
    16. Sung-Won Lee & Kwan-Ho Chun, 2019. "Adaptive Sliding Mode Control for PMSG Wind Turbine Systems," Energies, MDPI, vol. 12(4), pages 1-17, February.
    17. Kolesnik, Sergei & Sitbon, Moshe & Gadelovits, Shlomo & Suntio, Teuvo & Kuperman, Alon, 2015. "Interfacing renewable energy sources for maximum power transfer—Part II: Dynamics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1771-1783.
    18. Ganjefar, Soheil & Ghassemi, Ali Akbar & Ahmadi, Mohamad Mehdi, 2014. "Improving efficiency of two-type maximum power point tracking methods of tip-speed ratio and optimum torque in wind turbine system using a quantum neural network," Energy, Elsevier, vol. 67(C), pages 444-453.
    19. Sun, Xu & Liu, Yanli & Deng, Liangchen, 2020. "Reliability assessment of cyber-physical distribution network based on the fault tree," Renewable Energy, Elsevier, vol. 155(C), pages 1411-1424.
    20. Nasiri, M. & Milimonfared, J. & Fathi, S.H., 2015. "A review of low-voltage ride-through enhancement methods for permanent magnet synchronous generator based wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 399-415.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:5:y:2012:i:5:p:1398-1412:d:17739. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.