IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i7p1818-d157450.html
   My bibliography  Save this article

Optimal Multidimensional Droop Control for Wind Resources in DC Microgrids

Author

Listed:
  • Kaitlyn J. Bunker

    (Department of Electrical & Computer Engineering, Michigan Technological University, Houghton, MI 49931, USA
    Rocky Mountain Institute, Boulder, CO 80302, USA)

  • Wayne W. Weaver

    (Department of Electrical & Computer Engineering, Michigan Technological University, Houghton, MI 49931, USA)

Abstract

The inclusion of electricity generation from wind in microgrids presents an important opportunity in modern electric power systems. Various control strategies can be pursued for wind resources connected in microgrids, and droop control is a promising option since communication between microgrid components is not required. Traditional droop control does have the drawback of not allowing much or all of the available wind power to be utilized in the microgrid. This paper presents a novel droop control strategy, modifying the traditional approach and building an optimal droop surface at a higher dimension. A method for determining the optimal droop control surface in multiple dimensions to meet a given objective is presented. Simulation and hardware-in-the-loop experiments of a sample microgrid show that much more wind power can be utilized, while maintaining the system’s bus voltage and still avoiding the need for communication between the various components.

Suggested Citation

  • Kaitlyn J. Bunker & Wayne W. Weaver, 2018. "Optimal Multidimensional Droop Control for Wind Resources in DC Microgrids," Energies, MDPI, vol. 11(7), pages 1-20, July.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1818-:d:157450
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/7/1818/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/7/1818/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Niloofar Ghanbari & Hossein Mokhtari & Subhashish Bhattacharya, 2018. "Optimizing Operation Indices Considering Different Types of Distributed Generation in Microgrid Applications," Energies, MDPI, vol. 11(4), pages 1-12, April.
    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. Rania M. Ghoniem & Ali Alahmer & Hegazy Rezk & Samer As’ad, 2023. "Optimal Design and Sizing of Hybrid Photovoltaic/Fuel Cell Electrical Power System," Sustainability, MDPI, vol. 15(15), pages 1-19, August.
    2. Wang, Ruiting & Feng, Wei & Xue, Huijie & Gerber, Daniel & Li, Yutong & Hao, Bin & Wang, Yibo, 2021. "Simulation and power quality analysis of a Loose-Coupled bipolar DC microgrid in an office building," Applied Energy, Elsevier, vol. 303(C).

    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. Rahmani, Fatemeh, 2018. "Electric Vehicle Charger Based on DC/DC Converter Topology," MPRA Paper 108310, University Library of Munich, Germany, revised 01 Jul 2018.
    2. Ghaeth Fandi & Ibrahim Ahmad & Famous O. Igbinovia & Zdenek Muller & Josef Tlusty & Vladimir Krepl, 2018. "Voltage Regulation and Power Loss Minimization in Radial Distribution Systems via Reactive Power Injection and Distributed Generation Unit Placement," Energies, MDPI, vol. 11(6), pages 1-17, May.
    3. Fatemeh Ghalavand & Behzad Asle Mohammadi Alizade & Hossam Gaber & Hadis Karimipour, 2018. "Microgrid Islanding Detection Based on Mathematical Morphology," Energies, MDPI, vol. 11(10), pages 1-18, October.
    4. Dolatiary, Soheil & Rahmani, Javad & Khalilzad, Zahra, 2018. "Optimum location of DG units considering operation conditions," MPRA Paper 94194, University Library of Munich, Germany, revised 2018.
    5. Farzaneh Pourahmadi & Payman Dehghanian, 2018. "A Game-Theoretic Loss Allocation Approach in Power Distribution Systems with High Penetration of Distributed Generations," Mathematics, MDPI, vol. 6(9), pages 1-14, September.

    More about this item

    Keywords

    microgrid; control; optimal;
    All these keywords.

    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:gam:jeners:v:11:y:2018:i:7:p:1818-:d:157450. 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.