IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v8y2015i10p11430-11451d57021.html
   My bibliography  Save this article

Hybrid Intelligent Control Method to Improve the Frequency Support Capability of Wind Energy Conversion Systems

Author

Listed:
  • Shin Young Heo

    (Department of Energy System Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 604-714, Korea)

  • Mun Kyeom Kim

    (Department of Energy System Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 604-714, Korea)

  • Jin Woo Choi

    (Department of Energy System Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 604-714, Korea)

Abstract

This paper presents a hybrid intelligent control method that enables frequency support control for permanent magnet synchronous generators (PMSGs) wind turbines. The proposed method for a wind energy conversion system (WECS) is designed to have PMSG modeling and full-scale back-to-back insulated-gate bipolar transistor (IGBT) converters comprising the machine and grid side. The controller of the machine side converter (MSC) and the grid side converter (GSC) are designed to achieve maximum power point tracking (MPPT) based on an improved hill climb searching (IHCS) control algorithm and de-loaded (DL) operation to obtain a power margin. Along with this comprehensive control of maximum power tracking mode based on the IHCS, a method for kinetic energy (KE) discharge control of the supporting primary frequency control scheme with DL operation is developed to regulate the short-term frequency response and maintain reliable operation of the power system. The effectiveness of the hybrid intelligent control method is verified by a numerical simulation in PSCAD/EMTDC. Simulation results show that the proposed approach can improve the frequency regulation capability in the power system.

Suggested Citation

  • Shin Young Heo & Mun Kyeom Kim & Jin Woo Choi, 2015. "Hybrid Intelligent Control Method to Improve the Frequency Support Capability of Wind Energy Conversion Systems," Energies, MDPI, vol. 8(10), pages 1-22, October.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:10:p:11430-11451:d:57021
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/8/10/11430/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/8/10/11430/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fernandez, L.M. & Garcia, C.A. & Jurado, F., 2010. "Operating capability as a PQ/PV node of a direct-drive wind turbine based on a permanent magnet synchronous generator," Renewable Energy, Elsevier, vol. 35(6), pages 1308-1318.
    2. Ganjefar, Soheil & Ghasemi, Ali Akbar, 2014. "A novel-strategy controller design for maximum power extraction in stand-alone windmill systems," Energy, Elsevier, vol. 76(C), pages 326-335.
    3. González, L.G. & Figueres, E. & Garcerá, G. & Carranza, O., 2010. "Maximum-power-point tracking with reduced mechanical stress applied to wind-energy-conversion-systems," Applied Energy, Elsevier, vol. 87(7), pages 2304-2312, July.
    4. Hafiz, Faizal & Abdennour, Adel, 2015. "Optimal use of kinetic energy for the inertial support from variable speed wind turbines," Renewable Energy, Elsevier, vol. 80(C), pages 629-643.
    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. 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.
    2. Andrés Peña Asensio & Santiago Arnaltes Gómez & Jose Luis Rodriguez-Amenedo & Manuel García Plaza & Joaquín Eloy-García Carrasco & Jaime Manuel Alonso-Martínez de las Morenas, 2018. "A Voltage and Frequency Control Strategy for Stand-Alone Full Converter Wind Energy Conversion Systems," Energies, MDPI, vol. 11(3), pages 1-19, February.
    3. Yeongsu Bak & June-Seok Lee & Kyo-Beum Lee, 2016. "Balanced Current Control Strategy for Current Source Rectifier Stage of Indirect Matrix Converter under Unbalanced Grid Voltage Conditions," Energies, MDPI, vol. 10(1), pages 1-18, December.
    4. Dan Wang & Chongru Liu & Gengyin Li, 2016. "An Optimal Integrated Control Scheme for Permanent Magnet Synchronous Generator-Based Wind Turbines under Asymmetrical Grid Fault Conditions," Energies, MDPI, vol. 9(4), pages 1-27, April.
    5. Ramji Tiwari & Sanjeevikumar Padmanaban & Ramesh Babu Neelakandan, 2017. "Coordinated Control Strategies for a Permanent Magnet Synchronous Generator Based Wind Energy Conversion System," Energies, MDPI, vol. 10(10), pages 1-17, September.
    6. Kyu-Hyung Jo & Mun-Kyeom Kim, 2018. "Improved Genetic Algorithm-Based Unit Commitment Considering Uncertainty Integration Method," Energies, MDPI, vol. 11(6), pages 1-18, May.
    7. Pablo Zambrana & Javier Fernandez-Quijano & J. Jesus Fernandez-Lozano & Pedro M. Mayorga Rubio & Alfonso J. Garcia-Cerezo, 2021. "Improving the Performance of Controllers for Wind Turbines on Semi-Submersible Offshore Platforms: Fuzzy Supervisor Control," Energies, MDPI, vol. 14(19), pages 1-17, September.

    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. 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.
    2. Ganjefar, Soheil & Mohammadi, Ali, 2016. "Variable speed wind turbines with maximum power extraction using singular perturbation theory," Energy, Elsevier, vol. 106(C), pages 510-519.
    3. Ana Fernández-Guillamón & Guillermo Martínez-Lucas & Ángel Molina-García & Jose-Ignacio Sarasua, 2020. "Hybrid Wind–PV Frequency Control Strategy under Variable Weather Conditions in Isolated Power Systems," Sustainability, MDPI, vol. 12(18), pages 1-25, September.
    4. Cheng, Yi & Azizipanah-Abarghooee, Rasoul & Azizi, Sadegh & Ding, Lei & Terzija, Vladimir, 2020. "Smart frequency control in low inertia energy systems based on frequency response techniques: A review," Applied Energy, Elsevier, vol. 279(C).
    5. Fernández-Guillamón, Ana & Gómez-Lázaro, Emilio & Muljadi, Eduard & Molina-García, Ángel, 2019. "Power systems with high renewable energy sources: A review of inertia and frequency control strategies over time," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    6. Lin, Chia-Hung & Huang, Cong-Hui & Du, Yi-Chun & Chen, Jian-Liung, 2011. "Maximum photovoltaic power tracking for the PV array using the fractional-order incremental conductance method," Applied Energy, Elsevier, vol. 88(12), pages 4840-4847.
    7. Camblong, Haritza & Vechiu, Ionel & Guillaud, Xavier & Etxeberria, Aitor & Kreckelbergh, Stéphane, 2014. "Wind turbine controller comparison on an island grid in terms of frequency control and mechanical stress," Renewable Energy, Elsevier, vol. 63(C), pages 37-45.
    8. Azizi, Askar & Nourisola, Hamid & Shoja-Majidabad, Sajjad, 2019. "Fault tolerant control of wind turbines with an adaptive output feedback sliding mode controller," Renewable Energy, Elsevier, vol. 135(C), pages 55-65.
    9. Jose Rueda Torres & Zameer Ahmad & Nidarshan Veera Kumar & Elyas Rakhshani & Ebrahim Adabi & Peter Palensky & Mart van der Meijden, 2021. "Power Hardware-in-the-Loop-Based Performance Analysis of Different Converter Controllers for Fast Active Power Regulation in Low-Inertia Power Systems," Energies, MDPI, vol. 14(11), pages 1-15, June.
    10. Marwa Hassan & Alsnosy Balbaa & Hanady H. Issa & Noha H. El-Amary, 2018. "Asymptotic Output Tracked Artificial Immunity Controller for Eco-Maximum Power Point Tracking of Wind Turbine Driven by Doubly Fed Induction Generator," Energies, MDPI, vol. 11(10), pages 1-25, October.
    11. Trujillo, C.L. & Velasco, D. & Figueres, E. & Garcerá, G., 2010. "Analysis of active islanding detection methods for grid-connected microinverters for renewable energy processing," Applied Energy, Elsevier, vol. 87(11), pages 3591-3605, November.
    12. Ana Fernández-Guillamón & Guillermo Martínez-Lucas & Ángel Molina-García & Jose Ignacio Sarasua, 2020. "An Adaptive Control Scheme for Variable Speed Wind Turbines Providing Frequency Regulation in Isolated Power Systems with Thermal Generation," Energies, MDPI, vol. 13(13), pages 1-19, July.
    13. Pichan, Mohammad & Rastegar, Hasan & Monfared, Mohammad, 2013. "Two fuzzy-based direct power control strategies for doubly-fed induction generators in wind energy conversion systems," Energy, Elsevier, vol. 51(C), pages 154-162.
    14. Lin, Zhongwei & Chen, Zhenyu & Liu, Jizhen & Wu, Qiuwei, 2019. "Coordinated mechanical loads and power optimization of wind energy conversion systems with variable-weight model predictive control strategy," Applied Energy, Elsevier, vol. 236(C), pages 307-317.
    15. Kheshti, Mostafa & Ding, Lei & Nayeripour, Majid & Wang, Xiaowei & Terzija, Vladimir, 2019. "Active power support of wind turbines for grid frequency events using a reliable power reference scheme," Renewable Energy, Elsevier, vol. 139(C), pages 1241-1254.
    16. Pradhan, Chittaranjan & Bhende, Chandrashekhar Narayan & Samanta, Anik Kumar, 2018. "Adaptive virtual inertia-based frequency regulation in wind power systems," Renewable Energy, Elsevier, vol. 115(C), pages 558-574.
    17. Mercado-Vargas, M.J. & Gómez-Lorente, D. & Rabaza, O. & Alameda-Hernandez, E., 2015. "Aggregated models of permanent magnet synchronous generators wind farms," Renewable Energy, Elsevier, vol. 83(C), pages 1287-1298.
    18. Farooqui, Suhail Zaki, 2012. "Conversion of squirrel cage induction motors to wind turbine PMG," Renewable Energy, Elsevier, vol. 41(C), pages 345-349.
    19. Ana Fernández-Guillamón & Antonio Vigueras-Rodríguez & Emilio Gómez-Lázaro & Ángel Molina-García, 2018. "Fast Power Reserve Emulation Strategy for VSWT Supporting Frequency Control in Multi-Area Power Systems," Energies, MDPI, vol. 11(10), pages 1-20, October.
    20. Fathabadi, Hassan, 2016. "Novel high-efficient unified maximum power point tracking controller for hybrid fuel cell/wind systems," Applied Energy, Elsevier, vol. 183(C), pages 1498-1510.

    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:8:y:2015:i:10:p:11430-11451:d:57021. 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.