NJERUNICROSS Journal Logo
Nigerian Journal of
Engineering Research
Faculty Of Engineering UNICROSS

Open Access Journal

P-ISSN: 2971-785X
E-ISSN: 3141-4095

  • HOME
  • ABOUT
    • Editorial Board
    • Editorial Policy
    • Journal Statistics
    • Open Access and Copyrights
    • Ethical Guidelines for Journal Publication
  • GUIDELINES

    For Authors

    • General info for authors
    • Editorial process
    • Submitting a manuscript
    • Manuscript organization
    • Tables and figures guidelines
    • Guidelines for writing references
    • Authorship declaration and conflict of interest
    • Article Processing Charge (APC)

    For Reviewers

    • General info for reviewers
    • Reviewing process
    • Reviewing form
    • Conflict of interest
    • Publication policy and ethical considerations
  • ARCHIVE
  • CONTACT
  • ICEST

Login / Register

P-ISSN: 2971-785X
E-ISSN: 3141-4095

Back to previous page

Volume 1, Issue 1

Research Article

Load Flow Analysis of 132kv Calabar Transmission System for Improved Performance Using Global Best Artificial Bee Colony (Gabc) Algorithm

Published: December 20, 2023 | Volume: 1 | Issue: 1

Download Article Cite
View Count: 22 Page No: 62-74

Load Flow Analysis of 132kv Calabar Transmission System for Improved Performance Using Global Best Artificial Bee Colony (Gabc) Algorithm

Simeon Ebahe Okachi1 corresponding author email *, Eko James Akpama2

Published: December 20, 2023 | Issue: Volume 1, Issue 1

Page No. 62–74

Read More

Corresponding Author: Simeon Ebahe Okachi

Email: simeonokachi2019@gmail.com

1 Department of Electrical Electronic Engineering, Faculty of Engineering, University of Cross River State, Calabar, Nigeria.

2 Department of Electrical Electronic Engineering, Faculty of Engineering, University of Cross River State, Calabar, Nigeria.

Received: November 24, 2023 Reviewed: November 30, 2023 Accepted: December 20, 2023

Abstract

Load flow analysis plays an important role in the planning, operation, optimization and control of a power system network. Over the years, the Calabar 132Kv transmission system has witnessed voltage losses and load shedding due to insufficient power generation, inadequate or nonexistent reserves and the inability of the transmission companies to adequately manage the reactive power flow on the transmission line. This research titled “Load flow analysis of the 132kv Calabar transmission system for improved performance using Global-best Artificial Bee, Colony Algorithm (GABC)”. Electrical Transient Analyzer Program (ETAP) was used to evaluate the real time load profile of the transmission network under consideration, and its optimization wassimulated in a MATLAB environment. The aim of the research is to evaluate the condition of the transmission network load flow performance for improved stability and overall efficiency. Thus, determining the quantity of voltage loss during transmission, thereby providing the network with a viable recommendation which will form a medium-term policy framework for operation that will enhance and deliver quality as well as efficient electricity supply to the people connected to the transmission line. The outcome of our evaluation reveals that, bus 30 has a generated voltage of 403megawatts and the load supply of 252megawatts and the losses alone accounted for 151megawatts. The power lost on the 132Kv Calabar network was largely due to over loading, long distance, transmission/distribution lines ageing as well as inadequate control infrastructure. Also, it is observed that the result of the reactive power optimization for 100 maximum trial runs of the 179-bus network is 74megawatts which shows a reduction in power loss after optimization. Having evaluated the performance of the 132Kv Calabar sub-transmission network Cross River State, as a case study, to increase power capacity, outdated 132KV sub-transmission networks should be modernized and continued investment is needed in the power sector, particularly with the expansion of 132Kv sub-transmission networks and the introduction of distributed generation. Finally, for future growth, very old power transformers should be replaced with ones that have a higher MVA capacity, particularly Amika feeder lines linking Ekpo-Abasi, Calabar-South, Mary-Slessor road, by the main entrance of the University of Calabar. This analysis provides a tangible and detailed information of the Calabar 132kv transmission system operation capacity as well as the data for timely improvement of the network by the power sector policy makers.

Keywords: Load flow analysis, Global Best Artificial bee colony, load flow evaluation and transmission line network.

Article Statistics

Total article views
How many readers opened this article page
22
Total article downloads
Times the PDF file was downloaded
0

Share

Cite

APA
Simeon Ebahe Okachi et al. (2023). Load Flow Analysis of 132kv Calabar Transmission System for Improved Performance Using Global Best Artificial Bee Colony (Gabc) Algorithm. Nigerian Journal of Engineering Research, 1(1), 62-74. https://izlik.org/JA28WS58XL
AMA
Simeon Ebahe Okachi et al. Load Flow Analysis of 132kv Calabar Transmission System for Improved Performance Using Global Best Artificial Bee Colony (Gabc) Algorithm. Nigerian Journal of Engineering Research. 2023;1(1):62-74. https://izlik.org/JA28WS58XL
Chicago
Simeon Ebahe Okachi et al. 2023. \"Load Flow Analysis of 132kv Calabar Transmission System for Improved Performance Using Global Best Artificial Bee Colony (Gabc) Algorithm\". Nigerian Journal of Engineering Research 1 (1): 62-74. https://izlik.org/JA28WS58XL.
IEEE
[1] Simeon Ebahe Okachi et al., \"Load Flow Analysis of 132kv Calabar Transmission System for Improved Performance Using Global Best Artificial Bee Colony (Gabc) Algorithm\", Nigerian Journal of Engineering Research, vol. 1, no. 1, pp. 62-74, Dec 2023. [Online]. Available: https://izlik.org/JA28WS58XL
MLA
Simeon Ebahe Okachi et al. \"Load Flow Analysis of 132kv Calabar Transmission System for Improved Performance Using Global Best Artificial Bee Colony (Gabc) Algorithm\". Nigerian Journal of Engineering Research, vol. 1, no. 1, Dec 2023, pp. 62-74, https://izlik.org/JA28WS58XL.
Vancouver
1. Simeon Ebahe Okachi et al. Load Flow Analysis of 132kv Calabar Transmission System for Improved Performance Using Global Best Artificial Bee Colony (Gabc) Algorithm. Nigerian Journal of Engineering Research [Internet]. 2023 Dec. 20;1(1):62-74. Available from: https://izlik.org/JA28WS58XL

INDEXED BY

Crossref — Journal Indexing Database DOI — Journal Indexing Database Index Copernicus International — Journal Indexing Database EZB Electronic Journals Library — Journal Indexing Database EuroPub — Journal Indexing Database Research Organization Registry — Journal Indexing Database Wikidata — Journal Indexing Database Research Bible — Journal Indexing Database ISSN — Journal Indexing Database Google Scholar — Journal Indexing Database

NJERUNICROSS JOURNAL

Sponsored by:

TETFund Logo — Sponsor of NJERUNICROSS Journal

Quick Links

  • Home
  • About
  • Guidelines
  • Contact

Contact Us

Faculty of Engineering, University of Cross River State

icest@unicross.edu.ng njeru_@unicross.edu.ng

License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Articles published in the journal are published under a Creative Commons 4.0 International License. For the sections taken from the articles, it is obligatory to cite in accordance with the citation rules.

© 2026 Nigerian Journal of Engineering Research. All rights reserved.

Start typing to search available articles...