IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i21p15623-d1274157.html
   My bibliography  Save this article

Optimal Allocation of Distribution Static Synchronous Compensators in Distribution Networks Considering Various Load Models Using the Black Widow Optimization Algorithm

Author

Listed:
  • Sunday Adeleke Salimon

    (Electronic and Electrical Engineering Department, Ladoke Akintola University of Technology, Ogbomoso 210214, Nigeria)

  • Isaiah Gbadegesin Adebayo

    (Electronic and Electrical Engineering Department, Ladoke Akintola University of Technology, Ogbomoso 210214, Nigeria)

  • Gafari Abiola Adepoju

    (Electronic and Electrical Engineering Department, Ladoke Akintola University of Technology, Ogbomoso 210214, Nigeria)

  • Oludamilare Bode Adewuyi

    (Faculty of Engineering, Information and Systems, University of Tsukuba, 1 Chome 1-1 Tennodai, Tsukuba 305-8577, Japan)

Abstract

Incorporating Distribution Static Synchronous Compensator (DSTATCOM) units into the radial distribution network (RDN) represents a practical approach to providing reactive compensation, minimizing power loss, and enhancing voltage profile and stability. This research introduces a unique optimization technique called the Black Widow Optimization (BWO) algorithm for strategically placing DSTATCOM units within the RDN. The primary objective is to minimize power loss while simultaneously evaluating various techno-economic parameters such as the voltage profile index (VPI), voltage stability index (VSI), and annual cost savings. The analysis of optimal DSTATCOM allocation, employing the proposed BWO algorithm, encompasses different load models, including constant impedance (CZ), constant current (CI), constant power (CP), and composite (ZIP) models. These analyses consider three distinct scenarios: single and multiple DSTATCOM integration. To gauge the effectiveness of the proposed BWO technique, it is applied to the IEEE 33-bus and 69-bus RDNs as test cases. Simulation results confirm the efficiency of the proposed approach across all four load models. Notably, in the case of the constant power model, the percentage reduction in power loss is substantial, with a reduction of 34.79% for the IEEE 33-bus RDN and 36.09% for the IEEE 69-bus RDN compared to their respective base cases.

Suggested Citation

  • Sunday Adeleke Salimon & Isaiah Gbadegesin Adebayo & Gafari Abiola Adepoju & Oludamilare Bode Adewuyi, 2023. "Optimal Allocation of Distribution Static Synchronous Compensators in Distribution Networks Considering Various Load Models Using the Black Widow Optimization Algorithm," Sustainability, MDPI, vol. 15(21), pages 1-23, November.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:21:p:15623-:d:1274157
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/21/15623/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/21/15623/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ferminus Raj, A. & Gnana Saravanan, A., 2023. "An optimization approach for optimal location & size of DSTATCOM and DG," Applied Energy, Elsevier, vol. 336(C).
    Full references (including those not matched with items on IDEAS)

    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. Umme Mumtahina & Sanath Alahakoon & Peter Wolfs, 2023. "A Literature Review on the Optimal Placement of Static Synchronous Compensator (STATCOM) in Distribution Networks," Energies, MDPI, vol. 16(17), pages 1-38, 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:jsusta:v:15:y:2023:i:21:p:15623-:d:1274157. 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.