IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i7p1219-d218143.html
   My bibliography  Save this article

Historical Load Balance in Distribution Systems Using the Branch and Bound Algorithm

Author

Listed:
  • Jorge Arias

    (Department of Electrical and Electronics Engineering, Universidad del Norte, Barranquilla 080001, Atlántico, Colombia)

  • Maria Calle

    (Department of Electrical and Electronics Engineering, Universidad del Norte, Barranquilla 080001, Atlántico, Colombia)

  • Daniel Turizo

    (Department of Electrical and Electronics Engineering, Universidad del Norte, Barranquilla 080001, Atlántico, Colombia)

  • Javier Guerrero

    (School of Electrical Engineering & Computer Science, Washington State University, Bremerton, WA 98312, USA)

  • John E. Candelo-Becerra

    (Department of Electrical Energy and Automation, Facultad de Minas, Universidad Nacional de Colombia, Sede Medellín, Medellín 050041, Antioquia, Colombia)

Abstract

One of the biggest problems with distribution systems correspond to the load unbalance created by power demand of customers. This becomes a difficult task to solve with conventional methods. Therefore, this paper uses integer linear programming and Branch and Bound algorithm to balance the loads in the three phases of the distribution system, employing stored data of power demand. Results show that the method helps to decrease the unbalance factor in more than 10%, by selecting the phase where a load should be connected. The solution may be used as a planning tool in distribution systems applied to installations with systems for measuring power consumption in different time intervals. Furthermore, in conjunction with communications and processing technologies, the solution could be useful to implement with a smart grid.

Suggested Citation

  • Jorge Arias & Maria Calle & Daniel Turizo & Javier Guerrero & John E. Candelo-Becerra, 2019. "Historical Load Balance in Distribution Systems Using the Branch and Bound Algorithm," Energies, MDPI, vol. 12(7), pages 1-14, March.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:7:p:1219-:d:218143
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/7/1219/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/7/1219/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jose R Sicchar & Carlos T. Da Costa & Jose R. Silva & Raimundo C. Oliveira & Werbeston D. Oliveira, 2018. "A Load-Balance System Design of Microgrid Cluster Based on Hierarchical Petri Nets," Energies, MDPI, vol. 11(12), pages 1-30, November.
    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. Dávid Csercsik & Ádám Sleisz & Péter Márk Sőrés, 2019. "The Uncertain Bidder Pays Principle and Its Implementation in a Simple Integrated Portfolio-Bidding Energy-Reserve Market Model," Energies, MDPI, vol. 12(15), pages 1-25, August.
    2. Gheorghe Grigoraș & Bogdan-Constantin Neagu & Mihai Gavrilaș & Ion Triștiu & Constantin Bulac, 2020. "Optimal Phase Load Balancing in Low Voltage Distribution Networks Using a Smart Meter Data-Based Algorithm," Mathematics, MDPI, vol. 8(4), pages 1-29, April.
    3. Sung-Min Cho & Jin-Su Kim & Jae-Chul Kim, 2019. "Optimal Operation Parameter Estimation of Energy Storage for Frequency Regulation," Energies, MDPI, vol. 12(9), pages 1-21, May.
    4. Yih-Der Lee & Jheng-Lun Jiang & Yuan-Hsiang Ho & Wei-Chen Lin & Hsin-Ching Chih & Wei-Tzer Huang, 2020. "Neutral Current Reduction in Three-Phase Four-Wire Distribution Feeders by Optimal Phase Arrangement Based on a Full-Scale Net Load Model Derived from the FTU Data," Energies, MDPI, vol. 13(7), pages 1-20, April.
    5. Alena Otcenasova & Andrej Bolf & Juraj Altus & Michal Regula, 2019. "The Influence of Power Quality Indices on Active Power Losses in a Local Distribution Grid," Energies, MDPI, vol. 12(7), pages 1-31, April.
    6. Brandon Cortés-Caicedo & Luis Fernando Grisales-Noreña & Oscar Danilo Montoya, 2022. "Optimal Selection of Conductor Sizes in Three-Phase Asymmetric Distribution Networks Considering Optimal Phase-Balancing: An Application of the Salp Swarm Algorithm," Mathematics, MDPI, vol. 10(18), pages 1-34, September.
    7. Gheorghe Grigoraș & Bogdan-Constantin Neagu & Florina Scarlatache & Livia Noroc & Ecaterina Chelaru, 2021. "Bi-Level Phase Load Balancing Methodology with Clustering-Based Consumers’ Selection Criterion for Switching Device Placement in Low Voltage Distribution Networks," Mathematics, MDPI, vol. 9(5), pages 1-36, March.

    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. Gheorghe Grigoraș & Bogdan-Constantin Neagu & Mihai Gavrilaș & Ion Triștiu & Constantin Bulac, 2020. "Optimal Phase Load Balancing in Low Voltage Distribution Networks Using a Smart Meter Data-Based Algorithm," Mathematics, MDPI, vol. 8(4), pages 1-29, April.
    2. R. Claudio S. Gomes & Carlos Costa & Jose Silva & Jose Sicchar, 2019. "SmartLVGrid Platform—Convergence of Legacy Low-Voltage Circuits toward the Smart Grid Paradigm," Energies, MDPI, vol. 12(13), pages 1-23, July.
    3. Anastasios Dounis, 2019. "Special Issue “Intelligent Control in Energy Systems”," Energies, MDPI, vol. 12(15), pages 1-9, August.

    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:7:p:1219-:d:218143. 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.