IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i6p1025-d214367.html
   My bibliography  Save this article

Optimal Placement of Remote-Controlled Switches in Distribution Networks in the Presence of Distributed Generators

Author

Listed:
  • Maziar Isapour Chehardeh

    (Department of Electrical and Computer Engineering, Southern Illinois University, 1230 Lincoln Dr., Carbondale, IL 62901, USA
    Power Systems Development, Open Systems International, 4101 Arrowhead Drive, Medina, MN 55340, USA)

  • Constantine J. Hatziadoniu

    (Department of Electrical and Computer Engineering, Southern Illinois University, 1230 Lincoln Dr., Carbondale, IL 62901, USA)

Abstract

A two-level optimization method is presented to find the optimal number and location of conventional protective devices to be upgraded to remote-controlled switches (RCSs) for an existing distribution network (DN). The effect of distributed generation (DG) on this problem is considered. In the first level, a nonlinear binary program is proposed to maximize the restored customers subject to technical and topological constraints. All feasible interchanges between protective devices and ties involved in the restoration, when a fault occurs at all possible locations are found considering switching dependencies. In the second level, a nonlinear cost function, combining the expected cost of interruptions (ECOST) and the switch cost, is minimized with respect to the location of RCSs. The expected cost function is computed based on the optimum restoration policies obtained from the first level. The optimum placement of RCSs using the proposed algorithm is tested on a 4-feeder 1069-node test system and compared to the solution obtained with a genetic algorithm (GA) on the same system.

Suggested Citation

  • Maziar Isapour Chehardeh & Constantine J. Hatziadoniu, 2019. "Optimal Placement of Remote-Controlled Switches in Distribution Networks in the Presence of Distributed Generators," Energies, MDPI, vol. 12(6), pages 1-17, March.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:6:p:1025-:d:214367
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/6/1025/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/6/1025/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gustavo L. Aschidamini & Gederson A. da Cruz & Mariana Resener & Maicon J. S. Ramos & Luís A. Pereira & Bibiana P. Ferraz & Sérgio Haffner & Panos M. Pardalos, 2022. "Expansion Planning of Power Distribution Systems Considering Reliability: A Comprehensive Review," Energies, MDPI, vol. 15(6), pages 1-29, March.

    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:6:p:1025-:d:214367. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.