IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i21p4078-d280434.html
   My bibliography  Save this article

Linear Power Flow Method Improved With Numerical Analysis Techniques Applied to a Very Large Network

Author

Listed:
  • Baljinnyam Sereeter

    (Delft Institute of Applied Mathematics, Delft University of Technology, 2628XE Delft, The Netherlands)

  • Werner van Westering

    (Delft Center of Systems & Control, Delft University of Technology, The Netherlands and Alliander N.V. DNO, 2628CD Delft, The Netherlands)

  • Cornelis Vuik

    (Delft Institute of Applied Mathematics, Delft University of Technology, 2628XE Delft, The Netherlands)

  • Cees Witteveen

    (Department of Software Technology, Delft University of Technology, 2628XE Delft, The Netherlands)

Abstract

In this paper, we propose a fast linear power flow method using a constant impedance load model to simulate both the entire Low Voltage (LV) and Medium Voltage (MV) networks in a single simulation. Accuracy and efficiency of this linear approach are validated by comparing it with the Newton power flow algorithm and a commercial network design tool Vision on various distribution networks including real network data. Results show that our method can be as accurate as classical Nonlinear Power Flow (NPF) methods using a constant power load model and additionally, it is much faster than NPF computations. In our research, it is shown that voltage problems can be identified more efficiently when MV and LV are integrally evaluated. Moreover, Numerical Analysis (NA) techniques are applied to the Large Linear Power Flow (LLPF) problem with 27 million nonzeros in order to improve the computation time by studying the properties of the linear system. Finally, the original computation times of LLPF problems with real and complex components are reduced by 2.8 times and 5.7 times, respectively.

Suggested Citation

  • Baljinnyam Sereeter & Werner van Westering & Cornelis Vuik & Cees Witteveen, 2019. "Linear Power Flow Method Improved With Numerical Analysis Techniques Applied to a Very Large Network," Energies, MDPI, vol. 12(21), pages 1-15, October.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:21:p:4078-:d:280434
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/21/4078/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/21/4078/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Baljinnyam Sereeter & Kees Vuik & Cees Witteveen, 2017. "Newton Power Flow Methods for Unbalanced Three-Phase Distribution Networks," Energies, MDPI, vol. 10(10), pages 1-20, October.
    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. Raoul Bernards & Werner van Westering & Johan Morren & Han Slootweg, 2020. "Analysis of Energy Transition Impact on the Low-Voltage Network Using Stochastic Load and Generation Models," Energies, MDPI, vol. 13(22), pages 1-21, November.

    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. Harshavardhan Palahalli & Paolo Maffezzoni & Giambattista Gruosso, 2021. "Gaussian Copula Methodology to Model Photovoltaic Generation Uncertainty Correlation in Power Distribution Networks," Energies, MDPI, vol. 14(9), pages 1-16, April.
    2. Hakim Bennani & Ahmed Chebak & Abderrazak El Ouafi, 2023. "Unique Symbolic Factorization for Fast Contingency Analysis Using Full Newton–Raphson Method," Energies, MDPI, vol. 16(11), pages 1-17, May.
    3. Anuwat Chanhome & Surachai Chaitusaney, 2021. "A Modification of Newton–Raphson Power Flow for Using in LV Distribution System," Energies, MDPI, vol. 14(22), pages 1-19, November.
    4. Zain Anwer Memon & Riccardo Trinchero & Yanzhao Xie & Flavio G. Canavero & Igor S. Stievano, 2020. "An Iterative Scheme for the Power-Flow Analysis of Distribution Networks based on Decoupled Circuit Equivalents in the Phasor Domain," Energies, MDPI, vol. 13(2), pages 1-16, January.
    5. Chi-Thang Phan-Tan & Martin Hill, 2020. "Efficient Unbalanced Three-Phase Network Modelling for Optimal PV Inverter Control," Energies, MDPI, vol. 13(11), pages 1-14, June.
    6. Konstantinos Kotsalos & Ismael Miranda & Nuno Silva & Helder Leite, 2019. "A Horizon Optimization Control Framework for the Coordinated Operation of Multiple Distributed Energy Resources in Low Voltage Distribution Networks," Energies, MDPI, vol. 12(6), pages 1-27, March.
    7. Maria Eliza Kootte & Cornelis Vuik, 2021. "Steady-State Stand-Alone Power Flow Solvers for Integrated Transmission-Distribution Networks: A Comparison Study and Numerical Assessment," Energies, MDPI, vol. 14(18), pages 1-19, September.

    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:21:p:4078-:d:280434. 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.