American Journal of Electrical Power and Energy Systems

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Transient Stability Analysis of the Nigeria 330-kV Transmission Network

Received: 7 September 2017    Accepted: 26 September 2017    Published: 23 October 2017
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Abstract

Assessment of the dynamic response of generators, within a power system, when subjected to various disturbances, has been a major challenge to power system researchers and engineers for the past decades. This paper investigates the dynamic response of the generators in the Nigeria 330-kV grid network when a balanced 3-phase fault is applied with the aim of determining the Critical Clearing Time (CCT) of the transmission network. The generalized swing equations for a multi-machine power system is presented. MATLAB software is employed as the tool for the simulations. A real network of Nigeria 330-kV electric grid is used as a case study. The result obtained clearly show that there exist critical buses such as Benin, Onitsha and Jebba Transmission Station (TS) and critical transmission lines such as Benin-Olorunshogo Generating Station (GS) and Jebba TS-Shiroro GS within the network. The results also reveal that the system losses synchronism when a balanced 3-phase fault is applied to these identified critical buses and lines. The results further indicate that the Nigeria 330-kV transmission network is on a red-alert, which requires urgent control measures with the aim of enhancing the stability margin of the network to avoid system collapse.

DOI 10.11648/j.epes.20170606.11
Published in American Journal of Electrical Power and Energy Systems (Volume 6, Issue 6, November 2017)
Page(s) 79-87
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Transient Stability, Critical Clearing Time, Nigeria 330-kV, Power System

References
[1] T. R. Ayodele, A. S. O. Ogunjuyigba, and O. O. Oladele, “Improving the Transient Stability of Nigerian 330kV Transmission Network using SVC”, Nigeria Journal of Technology, pp. 155-166, 2016.
[2] P. R. Sharma, and Hooda, “Transient Stability Analysis of Power System using MATLAB”, International Journal of Engineering Sciences and Research Technology, pp. 418-422, 2012.
[3] K. Karthikeyan, and P. K. Dhal, “Transient Stability Enhancement by Optimal location and tuning of STATCOM using PSO”, Smart and Grid Technologies (ELSEVEIR), pp. 340-351, 2015.
[4] O. Eseosa, and F. O. Odiase, “Efficiency Improvement of Nigeria 330kV Network using FACTS devices”, International Journal of Advances in Engineering and Technology, pp. 26-41, 2012.
[5] O. Eseosa, and S. O. Onahaebi, “Optimal location of IPFC in Nigeria 330kV Integrated Power Network using GA Technique”, Journal of Electrical and Electronics Systems, pp. 1-8, 2015.
[6] P. O. Oluseyi, T. S. Adelaja, and T. O. Akinbulire, “Analysis of the Transient Stability Limit of Nigeria’s 330kV Transmission sub-network”, Nigeria Journal of Technology, pp. 213-226, 2017.
[7] F. I. Izuegbunem, C. B. Ubah AND I. O. Akwukwaegbu, “Dynamic security assessment of 330kV Nigeria power system”, Academic Research International Journal, pp. 456-466, 2012.
[8] S. O. Sanni, J. O. Haruna, B. Jimoh and U. O. Aliyu, “An analysis of transient stability enhancement capability of UPFC in a multi-machine power system”, FUOYE Journal of Engineering Technology, pp. 48-54, 2016.
[9] N. Masood, A. Hassan and A. Chowohury, “Enchancement of real power transfer capability of transmission line”, Journal of Energy and Power Engineering, pp. 1114-1118, 2012.
[10] M. N. Nwohu, A. Isah, A. U. Usman and A. A. Sadiq, “Optimal placement of thyristor controlled series compensator (TCSC) on Nigerian 330kV transmission grid to minimize real power losses”, International Journal of Research Studies in Electrical and Electronics Engineering, pp. 18-26, 2016.
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  • APA Style

    Ignatius Kema Okakwu, Emmanuel Apoyi Ogujor. (2017). Transient Stability Analysis of the Nigeria 330-kV Transmission Network. American Journal of Electrical Power and Energy Systems, 6(6), 79-87. https://doi.org/10.11648/j.epes.20170606.11

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    ACS Style

    Ignatius Kema Okakwu; Emmanuel Apoyi Ogujor. Transient Stability Analysis of the Nigeria 330-kV Transmission Network. Am. J. Electr. Power Energy Syst. 2017, 6(6), 79-87. doi: 10.11648/j.epes.20170606.11

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    AMA Style

    Ignatius Kema Okakwu, Emmanuel Apoyi Ogujor. Transient Stability Analysis of the Nigeria 330-kV Transmission Network. Am J Electr Power Energy Syst. 2017;6(6):79-87. doi: 10.11648/j.epes.20170606.11

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  • @article{10.11648/j.epes.20170606.11,
      author = {Ignatius Kema Okakwu and Emmanuel Apoyi Ogujor},
      title = {Transient Stability Analysis of the Nigeria 330-kV Transmission Network},
      journal = {American Journal of Electrical Power and Energy Systems},
      volume = {6},
      number = {6},
      pages = {79-87},
      doi = {10.11648/j.epes.20170606.11},
      url = {https://doi.org/10.11648/j.epes.20170606.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.epes.20170606.11},
      abstract = {Assessment of the dynamic response of generators, within a power system, when subjected to various disturbances, has been a major challenge to power system researchers and engineers for the past decades. This paper investigates the dynamic response of the generators in the Nigeria 330-kV grid network when a balanced 3-phase fault is applied with the aim of determining the Critical Clearing Time (CCT) of the transmission network. The generalized swing equations for a multi-machine power system is presented. MATLAB software is employed as the tool for the simulations. A real network of Nigeria 330-kV electric grid is used as a case study. The result obtained clearly show that there exist critical buses such as Benin, Onitsha and Jebba Transmission Station (TS) and critical transmission lines such as Benin-Olorunshogo Generating Station (GS) and Jebba TS-Shiroro GS within the network. The results also reveal that the system losses synchronism when a balanced 3-phase fault is applied to these identified critical buses and lines. The results further indicate that the Nigeria 330-kV transmission network is on a red-alert, which requires urgent control measures with the aim of enhancing the stability margin of the network to avoid system collapse.},
     year = {2017}
    }
    

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    AU  - Ignatius Kema Okakwu
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    T2  - American Journal of Electrical Power and Energy Systems
    JF  - American Journal of Electrical Power and Energy Systems
    JO  - American Journal of Electrical Power and Energy Systems
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    PB  - Science Publishing Group
    SN  - 2326-9200
    UR  - https://doi.org/10.11648/j.epes.20170606.11
    AB  - Assessment of the dynamic response of generators, within a power system, when subjected to various disturbances, has been a major challenge to power system researchers and engineers for the past decades. This paper investigates the dynamic response of the generators in the Nigeria 330-kV grid network when a balanced 3-phase fault is applied with the aim of determining the Critical Clearing Time (CCT) of the transmission network. The generalized swing equations for a multi-machine power system is presented. MATLAB software is employed as the tool for the simulations. A real network of Nigeria 330-kV electric grid is used as a case study. The result obtained clearly show that there exist critical buses such as Benin, Onitsha and Jebba Transmission Station (TS) and critical transmission lines such as Benin-Olorunshogo Generating Station (GS) and Jebba TS-Shiroro GS within the network. The results also reveal that the system losses synchronism when a balanced 3-phase fault is applied to these identified critical buses and lines. The results further indicate that the Nigeria 330-kV transmission network is on a red-alert, which requires urgent control measures with the aim of enhancing the stability margin of the network to avoid system collapse.
    VL  - 6
    IS  - 6
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Author Information
  • Department of Electrical/Electronic Engineering, Faculty of Engineering, University of Benin, Benin City, Nigeria

  • Department of Electrical/Electronic Engineering, Faculty of Engineering, University of Benin, Benin City, Nigeria

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