IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i5p821-d210222.html
   My bibliography  Save this article

Application Research of the Parallel System Theory and the Data Engine Approach in Wind Energy Conversion System

Author

Listed:
  • Zhicheng Lin

    (College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350116, China)

  • Song Zheng

    (College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350116, China
    Key Laboratory of Industrial Automation Control Technology and Information Processing, Fuzhou University, Fuzhou 350116, China)

  • Zhicheng Chen

    (IAP (Fujian) Technology Co., Ltd. Fuzhou, China, Fuzhou 350116, China)

  • Rong Zheng

    (IAP (Fujian) Technology Co., Ltd. Fuzhou, China, Fuzhou 350116, China)

  • Wang Zhang

    (IAP (Fujian) Technology Co., Ltd. Fuzhou, China, Fuzhou 350116, China)

Abstract

The parallel system is a kind of scientific research method based on an artificial system and computational experiments, which can not only reflect the dynamic process of the real system but also optimize its control process in real time. Given the rapid development of wind energy technology, how to shorten the development and deployment cycle and decrease the programming difficulties of wind energy conversion system (WECS) are major issues for improving the utilization of this form of energy. In this paper, the Data Engine is used as a computing environment to form a parallel WECS for studying the engineering application of WECS. With the support of the programming methods of graphical component configurations, visualization technology and dynamic reconfiguration technology, a maximum power point tracking (MPPT) computing experiment of the parallel WECS is carried out. After comparing with MATLAB simulation results, the parallel WECS is verified as having good performance. The Data Engine is an ideal computing unit for modeling and computation of the parallel system and can establish a parallel relationship between the artificial system and the real system so as to achieve the optimal control of WECS.

Suggested Citation

  • Zhicheng Lin & Song Zheng & Zhicheng Chen & Rong Zheng & Wang Zhang, 2019. "Application Research of the Parallel System Theory and the Data Engine Approach in Wind Energy Conversion System," Energies, MDPI, vol. 12(5), pages 1-20, March.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:5:p:821-:d:210222
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/5/821/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/5/821/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ching-Sung Wang & Mao-Hsiung Chiang, 2016. "A Novel Dynamic Co-Simulation Analysis for Overall Closed Loop Operation Control of a Large Wind Turbine," Energies, MDPI, vol. 9(8), pages 1-20, August.
    2. Kumar, Dipesh & Chatterjee, Kalyan, 2016. "A review of conventional and advanced MPPT algorithms for wind energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 957-970.
    3. Lasheen, Ahmed & Elshafei, Abdel Latif, 2016. "Wind-turbine collective-pitch control via a fuzzy predictive algorithm," Renewable Energy, Elsevier, vol. 87(P1), pages 298-306.
    4. 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.
    5. Tiwari, Ramji & Babu, N. Ramesh, 2016. "Recent developments of control strategies for wind energy conversion system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 268-285.
    6. Xiaoliang Yang & Guorong Liu & Anping Li & Le Van Dai, 2017. "A Predictive Power Control Strategy for DFIGs Based on a Wind Energy Converter System," Energies, MDPI, vol. 10(8), pages 1-24, July.
    7. Willis, D.J. & Niezrecki, C. & Kuchma, D. & Hines, E. & Arwade, S.R. & Barthelmie, R.J. & DiPaola, M. & Drane, P.J. & Hansen, C.J. & Inalpolat, M. & Mack, J.H. & Myers, A.T. & Rotea, M., 2018. "Wind energy research: State-of-the-art and future research directions," Renewable Energy, Elsevier, vol. 125(C), pages 133-154.
    8. Neeraj Priyadarshi & Vigna K. Ramachandaramurthy & Sanjeevikumar Padmanaban & Farooque Azam, 2019. "An Ant Colony Optimized MPPT for Standalone Hybrid PV-Wind Power System with Single Cuk Converter," Energies, MDPI, vol. 12(1), pages 1-23, January.
    9. Feng Gao & Xiaojiang Wu & Qiang Liu & Juncheng Liu & Xiyun Yang, 2019. "Fault Simulation and Online Diagnosis of Blade Damage of Large-Scale Wind Turbines," Energies, MDPI, vol. 12(3), pages 1-16, February.
    10. Kumar, Yogesh & Ringenberg, Jordan & Depuru, Soma Shekara & Devabhaktuni, Vijay K. & Lee, Jin Woo & Nikolaidis, Efstratios & Andersen, Brett & Afjeh, Abdollah, 2016. "Wind energy: Trends and enabling technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 209-224.
    11. Kai Ni & Yihua Hu & Yang Liu & Chun Gan, 2017. "Performance Analysis of a Four-Switch Three-Phase Grid-Side Converter with Modulation Simplification in a Doubly-Fed Induction Generator-Based Wind Turbine (DFIG-WT) with Different External Disturbanc," Energies, MDPI, vol. 10(5), pages 1-24, May.
    12. Jabbari Asl, Hamed & Yoon, Jungwon, 2016. "Power capture optimization of variable-speed wind turbines using an output feedback controller," Renewable Energy, Elsevier, vol. 86(C), pages 517-525.
    13. Jain, Bhavna & Jain, Shailendra & Nema, R.K., 2015. "Control strategies of grid interfaced wind energy conversion system: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 983-996.
    14. 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.
    15. Maha Zoghlami & Ameni Kadri & Faouzi Bacha, 2018. "Analysis and Application of the Sliding Mode Control Approach in the Variable-Wind Speed Conversion System for the Utility of Grid Connection," Energies, MDPI, vol. 11(4), pages 1-17, March.
    16. Davide Astolfi & Francesco Castellani & Ludovico Terzi, 2018. "Wind Turbine Power Curve Upgrades," Energies, MDPI, vol. 11(5), pages 1-17, May.
    Full references (including those not matched with items on IDEAS)

    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. Tiwari, Ramji & Babu, N. Ramesh, 2016. "Recent developments of control strategies for wind energy conversion system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 268-285.
    2. Shrabani Sahu & Sasmita Behera, 2022. "A review on modern control applications in wind energy conversion system," Energy & Environment, , vol. 33(2), pages 223-262, March.
    3. Youssef, Abdel-Raheem & Mousa, Hossam H.H. & Mohamed, Essam E.M., 2020. "Development of self-adaptive P&O MPPT algorithm for wind generation systems with concentrated search area," Renewable Energy, Elsevier, vol. 154(C), pages 875-893.
    4. Younes Azelhak & Loubna Benaaouinate & Hicham Medromi & Youssef Errami & Tarik Bouragba & Damien Voyer, 2021. "Exhaustive Comparison between Linear and Nonlinear Approaches for Grid-Side Control of Wind Energy Conversion Systems," Energies, MDPI, vol. 14(13), pages 1-20, July.
    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. Fan, Zhixin & Zhu, Caichao, 2019. "The optimization and the application for the wind turbine power-wind speed curve," Renewable Energy, Elsevier, vol. 140(C), pages 52-61.
    7. Mito, Mohamed T. & Ma, Xianghong & Albuflasa, Hanan & Davies, Philip A., 2019. "Reverse osmosis (RO) membrane desalination driven by wind and solar photovoltaic (PV) energy: State of the art and challenges for large-scale implementation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 669-685.
    8. Raymond Byrne & Davide Astolfi & Francesco Castellani & Neil J. Hewitt, 2020. "A Study of Wind Turbine Performance Decline with Age through Operation Data Analysis," Energies, MDPI, vol. 13(8), pages 1-18, April.
    9. Amira Elkodama & Amr Ismaiel & A. Abdellatif & S. Shaaban & Shigeo Yoshida & Mostafa A. Rushdi, 2023. "Control Methods for Horizontal Axis Wind Turbines (HAWT): State-of-the-Art Review," Energies, MDPI, vol. 16(17), pages 1-32, September.
    10. Miriam Benedetti & Daniele Dadi & Lorena Giordano & Vito Introna & Pasquale Eduardo Lapenna & Annalisa Santolamazza, 2021. "Design of a Database of Case Studies and Technologies to Increase the Diffusion of Low-Temperature Waste Heat Recovery in the Industrial Sector," Sustainability, MDPI, vol. 13(9), pages 1-19, May.
    11. Youjie Ma & Long Tao & Xuesong Zhou & Wei Li & Xueqi Shi, 2019. "Analysis and Control of Wind Power Grid Integration Based on a Permanent Magnet Synchronous Generator Using a Fuzzy Logic System with Linear Extended State Observer," Energies, MDPI, vol. 12(15), pages 1-19, July.
    12. Vasudevan, Krishnakumar R. & Ramachandaramurthy, Vigna K. & Venugopal, Gomathi & Ekanayake, J.B. & Tiong, S.K., 2021. "Variable speed pumped hydro storage: A review of converters, controls and energy management strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    13. Bodha, Venugopal Reddy & Srujana, A. & Chandrashekar, O., 2018. "A modified H-bridge voltage source converter with Fault Ride Capability," Energy, Elsevier, vol. 165(PB), pages 1380-1391.
    14. Manisha Sawant & Sameer Thakare & A. Prabhakara Rao & Andrés E. Feijóo-Lorenzo & Neeraj Dhanraj Bokde, 2021. "A Review on State-of-the-Art Reviews in Wind-Turbine- and Wind-Farm-Related Topics," Energies, MDPI, vol. 14(8), pages 1-30, April.
    15. Abrar Ahmed Chhipa & Vinod Kumar & Raghuveer Raj Joshi & Prasun Chakrabarti & Michal Jasinski & Alessandro Burgio & Zbigniew Leonowicz & Elzbieta Jasinska & Rajkumar Soni & Tulika Chakrabarti, 2021. "Adaptive Neuro-Fuzzy Inference System-Based Maximum Power Tracking Controller for Variable Speed WECS," Energies, MDPI, vol. 14(19), pages 1-19, October.
    16. Wollz, Danilo Henrique & da Silva, Sergio Augusto Oliveira & Sampaio, Leonardo Poltronieri, 2020. "Real-time monitoring of an electronic wind turbine emulator based on the dynamic PMSG model using a graphical interface," Renewable Energy, Elsevier, vol. 155(C), pages 296-308.
    17. López-Queija, Javier & Robles, Eider & Jugo, Josu & Alonso-Quesada, Santiago, 2022. "Review of control technologies for floating offshore wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    18. Kenneth E. Okedu & S. M. Muyeen, 2022. "Comparative Performance of DFIG and PMSG Wind Turbines during Transient State in Weak and Strong Grid Conditions Considering Series Dynamic Braking Resistor," Energies, MDPI, vol. 15(23), pages 1-22, December.
    19. Cuadra, L. & Ocampo-Estrella, I. & Alexandre, E. & Salcedo-Sanz, S., 2019. "A study on the impact of easements in the deployment of wind farms near airport facilities," Renewable Energy, Elsevier, vol. 135(C), pages 566-588.
    20. Zholtayev, Darkhan & Rubagotti, Matteo & Do, Ton Duc, 2022. "Adaptive super-twisting sliding mode control for maximum power point tracking of PMSG-based wind energy conversion systems," Renewable Energy, Elsevier, vol. 183(C), pages 877-889.

    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:12:y:2019:i:5:p:821-:d:210222. 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.