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A Steady-State Analysis Method for Modular Multilevel Converters Connected to Permanent Magnet Synchronous Generator-Based Wind Energy Conversion Systems

Author

Listed:
  • Zhijie Liu

    (School of Electrical Engineering, Shandong University, Shandong 250061, China)

  • Kejun Li

    (School of Electrical Engineering, Shandong University, Shandong 250061, China)

  • Yuanyuan Sun

    (School of Electrical Engineering, Shandong University, Shandong 250061, China)

  • Jinyu Wang

    (School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore 639798, Singapore)

  • Zhuodi Wang

    (School of Electrical Engineering, Shandong University, Shandong 250061, China)

  • Kaiqi Sun

    (School of Electrical Engineering, Shandong University, Shandong 250061, China)

  • Meiyan Wang

    (School of Electrical Engineering, Shandong University, Shandong 250061, China)

Abstract

Modular multilevel converters (MMCs) have shown great potential in the area of multi-megawatt wind energy conversion system (WECS) based on permanent magnet synchronous generators (PMSGs). However, the studies in this area are few, and most of them refer to the MMC used in high-voltage direct current (HVDC) systems, and hence the characteristics of the PMSG are not considered. This paper proposes a steady-state analysis method for MMCs connected to a PMSG-based WECS. In the proposed method, only the wind speed (operating condition) is required as input, and all the electrical quantities in the MMC, including the amplitudes, phase angles and their harmonics, can be calculated step by step. The analysis method is built on the proposed d-q frame mathematical model. Interactions of electrical quantities between the MMC and PMSG are comprehensively considered. Moreover, a new way to calculate the average switching functions are adopted in order to improve the accuracy of the analysis method. Applications of the proposed method are also presented, which includes the characteristic analysis of capacitor voltage ripples and the capacitor sizing. Finally, the accuracy of the method and the correctness of the analysis are verified by simulations and experiments.

Suggested Citation

  • Zhijie Liu & Kejun Li & Yuanyuan Sun & Jinyu Wang & Zhuodi Wang & Kaiqi Sun & Meiyan Wang, 2018. "A Steady-State Analysis Method for Modular Multilevel Converters Connected to Permanent Magnet Synchronous Generator-Based Wind Energy Conversion Systems," Energies, MDPI, vol. 11(2), pages 1-31, February.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:2:p:461-:d:132778
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    References listed on IDEAS

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    1. Florentino Chavira & S. Ortega-Cisneros & Jorge Rivera, 2017. "A Novel Sliding Mode Control Scheme for a PMSG-Based Variable Speed Wind Energy Conversion System," Energies, MDPI, vol. 10(10), pages 1-13, September.
    2. Hui Liu & Ke Ma & Poh Chiang Loh & Frede Blaabjerg, 2015. "Online Fault Identification Based on an Adaptive Observer for Modular Multilevel Converters Applied to Wind Power Generation Systems," Energies, MDPI, vol. 8(7), pages 1-21, July.
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    Cited by:

    1. Mauricio Muñoz-Ramírez & Hugo Valderrama-Blavi & Marco Rivera & Carlos Restrepo, 2019. "An Approach to Natural Sampling Using a Digital Sampling Technique for SPWM Multilevel Inverter Modulation," Energies, MDPI, vol. 12(15), pages 1-16, July.
    2. Stefano Farnesi & Mario Marchesoni & Massimiliano Passalacqua & Luis Vaccaro, 2019. "Solid-State Transformers in Locomotives Fed through AC Lines: A Review and Future Developments," Energies, MDPI, vol. 12(24), pages 1-29, December.
    3. Jaume Girona-Badia & Oriol Gomis-Bellmunt & Tomàs Lledó-Ponsati & Macià Capó-Lliteras & Carlos Collados-Rodriguez & Nicolaos Antonio Cutululis & Oscar Saborío-Romano & Daniel Montesinos-Miracle & Marc, 2022. "Design, Control and Testing of a Modular Multilevel Converter with a Single Cell per Arm in Grid-Forming and Grid-Following Operations for Scaled-Down Experimental Platforms," Energies, MDPI, vol. 15(5), pages 1-16, March.
    4. José Genaro González-Hernández & Rubén Salas-Cabrera, 2021. "Wind Power Extraction Optimization by Dynamic Gain Scheduling Approximation Based on Non-Linear Functions for a WECS Based on a PMSG," Mathematics, MDPI, vol. 9(17), pages 1-19, August.

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