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1700742PublishedVol 2 · Issue 3

ENHANCING LOADABILITY OF TRANSMISSION LINES USING SERIES COMPENSATION (FACTS) DEVICE IN NIGERIA NETWORK

Ameh B V Ezechukwu A O

Subject area: Science,Engineering and Technology  ·  Area of research: Electrical Engineering

Abstract

This work studied the presence of reactive component of power in the transmission line which enhances congestion of the transmission line leaving little room for active power flow. The Nigerian Bus system operated at 330kV with 41 buses was used to evaluate voltage drop index for load buses as active power varied at constant reactive power values. The study is to improve the nodal voltage profile of the electric networks and improve the real power transfer capacity (loadability) of congested power system transmission lines at stable voltages using FACTS devices ( SVC and TCSC). And to achieve this, load flow analysis was carried out at various load varying cases for the Nigerian bus grid system operated at 330kV using NEPLAN simulator. With power varied from a base case through five steps of 10% increment from the previous, the result of the total voltage drop index ranked Yola, as can be seen in descending order as the optimal locations for series compensation. Aided with this ranking, load flow analyses were executed for the individual and simultaneous series compensation at these buses. Each of the compensated cases when compared with the base case bus load flow tabular and bar chart results showed significant improvement due to the compensation.

Keywords

FACTS, TCSC, SVC, LOADABILITY

How to cite this paper

Ameh B V, Ezechukwu A O "ENHANCING LOADABILITY OF TRANSMISSION LINES USING SERIES COMPENSATION (FACTS) DEVICE IN NIGERIA NETWORK" Iconic Research And Engineering Journals Volume 2 Issue 3 2018 Page 12-22
Ameh B V, Ezechukwu A O "ENHANCING LOADABILITY OF TRANSMISSION LINES USING SERIES COMPENSATION (FACTS) DEVICE IN NIGERIA NETWORK" Iconic Research And Engineering Journals, vol. 2, no. 3, Oct. 2018
Ameh B V, Ezechukwu A O (2018). ENHANCING LOADABILITY OF TRANSMISSION LINES USING SERIES COMPENSATION (FACTS) DEVICE IN NIGERIA NETWORK. Iconic Research And Engineering Journals, 2(3).
Ameh B V, Ezechukwu A O "ENHANCING LOADABILITY OF TRANSMISSION LINES USING SERIES COMPENSATION (FACTS) DEVICE IN NIGERIA NETWORK" Iconic Research And Engineering Journals, vol. 2, no. 3, Oct. 2018.
@article{1700742,
      author = {Ameh B V, Ezechukwu A O},
      title = {ENHANCING LOADABILITY OF TRANSMISSION LINES USING SERIES COMPENSATION (FACTS) DEVICE IN NIGERIA NETWORK},
      journal = {Iconic Research And Engineering Journals},
      year = {2018},
      volume = {2},
      number = {3},
      pages = {12-22},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1700742.pdf},
      abstract = {This work studied the presence of reactive component of power in the transmission line which enhances congestion of the transmission line leaving little room for active power flow. The Nigerian Bus system operated at 330kV with 41 buses was used to evaluate voltage drop index for load buses as active power varied at constant reactive power values. The study is to improve the nodal voltage profile of the electric networks and improve the real power transfer capacity (loadability) of congested power system transmission lines at stable voltages using FACTS devices ( SVC and TCSC). And to achieve this, load flow analysis was carried out at various load varying cases for the Nigerian bus grid system operated at 330kV using NEPLAN simulator. With power varied from a base case through five steps of 10% increment from the previous, the result of the total voltage drop index ranked Yola, as can be seen in descending order as the optimal locations for series compensation. Aided with this ranking, load flow analyses were executed for the individual and simultaneous series compensation at these buses. Each of the compensated cases when compared with the base case bus load flow tabular and bar chart results showed significant improvement due to the compensation.},
      keywords = {FACTS, TCSC, SVC, LOADABILITY},
      month = {September},
  }