IDEAS home Printed from https://ideas.repec.org/a/hin/complx/5376360.html
   My bibliography  Save this article

Steady-State Analysis and Output Voltage Minimization Based Control Strategy for Electric Springs in the Smart Grid with Multiple Renewable Energy Sources

Author

Listed:
  • Yun Zou
  • Michael Z. Q. Chen
  • Yinlong Hu
  • Yun Zou

Abstract

This paper presents a general steady-state analysis and proposes a minimal compensating voltage (MCV) control scheme for the second generation of electric springs (ES-2) in the power system with substantial penetration of intermittent renewable energy sources. For the steady-state analysis, the relationship among the fluctuating part of the supply voltage, the voltage at the point of common-coupling (PCC), and the compensating voltage provided by ES-2 is derived, which implies that the phase angle related to the PCC voltage can be used as a degree of freedom for the control design to obtain a minimal compensating voltage in a given system. Such a fact is utilized in the control design to obtain the reference of PCC voltage by tuning the above-mentioned phase angle. Once the phase angle of the PCC voltage is chosen, the maximal compensating voltage can be estimated based on the fluctuating part of the supply voltage which can be estimated a priori . Such a fact can be used to design suitable electric springs with appropriate compensating capacity to avoid overcapacity. Numerical simulations are conducted to verify the effectiveness of the steady-state analysis and the proposed control scheme for ES-2.

Suggested Citation

  • Yun Zou & Michael Z. Q. Chen & Yinlong Hu & Yun Zou, 2019. "Steady-State Analysis and Output Voltage Minimization Based Control Strategy for Electric Springs in the Smart Grid with Multiple Renewable Energy Sources," Complexity, Hindawi, vol. 2019, pages 1-12, May.
    • Handle: RePEc:hin:complx:5376360
    DOI: 10.1155/2019/5376360
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2019/5376360.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/8503/2019/5376360.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2019/5376360?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Qin Guo & Zhongkui Sun & Ying Zhang & Wei Xu, 2019. "Time-Delayed Feedback Control in the Multiple Attractors Wind-Induced Vibration Energy Harvesting System," Complexity, Hindawi, vol. 2019, pages 1-11, January.
    2. Huixin Zhong & Dajun Du & Chuanjiang Li & Xue Li, 2018. "A Novel Sparse False Data Injection Attack Method in Smart Grids with Incomplete Power Network Information," Complexity, Hindawi, vol. 2018, pages 1-16, November.
    3. Lei Xi & Yudan Li & Yuehua Huang & Ling Lu & Jianfeng Chen, 2018. "A Novel Automatic Generation Control Method Based on the Ecological Population Cooperative Control for the Islanded Smart Grid," Complexity, Hindawi, vol. 2018, pages 1-17, August.
    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. Guillermo Tapia-Tinoco & David Granados-Lieberman & David A. Rodriguez-Alejandro & Martin Valtierra-Rodriguez & Arturo Garcia-Perez, 2020. "A Robust Electric Spring Model and Modified Backward Forward Solution Method for Microgrids with Distributed Generation," Mathematics, MDPI, vol. 8(8), pages 1-32, August.

    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. Cheng Guo & Delin Wang, 2019. "Frequency Regulation and Coordinated Control for Complex Wind Power Systems," Complexity, Hindawi, vol. 2019, pages 1-12, May.
    2. Meng Xia & Dajun Du & Minrui Fei & Xue Li & Taicheng Yang, 2020. "A Novel Sparse Attack Vector Construction Method for False Data Injection in Smart Grids," Energies, MDPI, vol. 13(11), pages 1-19, June.
    3. Ashish Shrestha & Francisco Gonzalez-Longatt, 2021. "Frequency Stability Issues and Research Opportunities in Converter Dominated Power System," Energies, MDPI, vol. 14(14), pages 1-28, July.

    More about this item

    Statistics

    Access and download statistics

    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:hin:complx:5376360. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.