IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i6p1623-d517057.html
   My bibliography  Save this article

An Optimal Power Flow Algorithm for the Simulation of Energy Storage Systems in Unbalanced Three-Phase Distribution Grids

Author

Listed:
  • Lukas Held

    (Institute of Electric Energy Systems and High-Voltage Technology, Karlsruhe Institute of Technology, Engesserstrasse 11, 76131 Karlsruhe, Germany)

  • Felicitas Mueller

    (Institute of Electric Energy Systems and High-Voltage Technology, Karlsruhe Institute of Technology, Engesserstrasse 11, 76131 Karlsruhe, Germany
    These authors contributed equally to this work.)

  • Sina Steinle

    (Institute of Electric Energy Systems and High-Voltage Technology, Karlsruhe Institute of Technology, Engesserstrasse 11, 76131 Karlsruhe, Germany
    These authors contributed equally to this work.)

  • Mohammed Barakat

    (Institute of Electric Energy Systems and High-Voltage Technology, Karlsruhe Institute of Technology, Engesserstrasse 11, 76131 Karlsruhe, Germany)

  • Michael R. Suriyah

    (Institute of Electric Energy Systems and High-Voltage Technology, Karlsruhe Institute of Technology, Engesserstrasse 11, 76131 Karlsruhe, Germany)

  • Thomas Leibfried

    (Institute of Electric Energy Systems and High-Voltage Technology, Karlsruhe Institute of Technology, Engesserstrasse 11, 76131 Karlsruhe, Germany)

Abstract

An optimal power flow algorithm for unbalanced three-phase distribution grids is presented in this paper as a new tool for grid planning on low voltage level. As additional equipment like electric vehicles, heat pumps or solar power systems can sometimes cause unbalanced power flows, existing algorithms have to be adapted. In comparison to algorithms considering balanced power flows, the presented algorithm uses a complete model of a three-phase four-wire low voltage grid. Additionally, a constraint for the voltage unbalance in the grid is introduced. The algorithm can be used to optimize the operation of energy storage systems in unbalanced systems. The used grid model, constraints, objective function and solver are explained in detail. A validation of the algorithm using a commercial tool is done. Additionally, three exemplary optimizations are performed to show possible applications for this tool.

Suggested Citation

  • Lukas Held & Felicitas Mueller & Sina Steinle & Mohammed Barakat & Michael R. Suriyah & Thomas Leibfried, 2021. "An Optimal Power Flow Algorithm for the Simulation of Energy Storage Systems in Unbalanced Three-Phase Distribution Grids," Energies, MDPI, vol. 14(6), pages 1-34, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:6:p:1623-:d:517057
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/6/1623/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/6/1623/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Johanna Geis-Schroer & Sebastian Hubschneider & Lukas Held & Frederik Gielnik & Michael Armbruster & Michael Suriyah & Thomas Leibfried, 2021. "Modeling of German Low Voltage Cables with Ground Return Path," Energies, MDPI, vol. 14(5), pages 1-34, February.
    2. Han Huang & Shiyan Hu & Dariusz Czarkowski, 2007. "Programmed PWM to improve power quality in systems with distributed generation units," International Journal of Energy Technology and Policy, Inderscience Enterprises Ltd, vol. 5(2), pages 204-218.
    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. Gianfranco Chicco & Andrea Mazza & Salvatore Musumeci & Enrico Pons & Angela Russo, 2022. "Editorial for the Special Issue “Verifying the Targets—Selected Papers from the 55th International Universities Power Engineering Conference (UPEC 2020)”," Energies, MDPI, vol. 15(15), pages 1-8, August.
    2. Zbigniew Olczykowski, 2021. "Electric Arc Furnaces as a Cause of Current and Voltage Asymmetry," Energies, MDPI, vol. 14(16), pages 1-18, August.
    3. Diego Jose da Silva & Edmarcio Antonio Belati & Jesús M. López-Lezama, 2023. "A Mathematical Programming Approach for the Optimal Operation of Storage Systems, Photovoltaic and Wind Power Generation," Energies, MDPI, vol. 16(3), pages 1-24, January.
    4. Zongjie Wang & C. Lindsay Anderson, 2021. "A Progressive Period Optimal Power Flow for Systems with High Penetration of Variable Renewable Energy Sources," Energies, MDPI, vol. 14(10), pages 1-17, May.

    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. Ferréol Binot & Trung Dung Le & Marc Petit, 2021. "Characterization and Modeling of LV Cables Considering External Parameters for Distribution Networks," Energies, MDPI, vol. 14(23), pages 1-29, November.

    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:14:y:2021:i:6:p:1623-:d:517057. 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.