International Journal of Advanced Engineering and Technology

International Journal of Advanced Engineering and Technology

ISSN: 2456-7655

Vol. 2, Issue 2 (2018)

On the identification of failure prone feeders in the Nigerian power system network using VFTM technique

Author(s): Airoboman Abel, Ogujor Emmanuel
Abstract: The power system network in Nigeria is presently characterized with various failures across all the arms of the sector and if this continues it may be difficult to compete with the western world in terms of industrialization. The globalization of any country, therefore, depends on the state-of-the-art technology and this is directly proportional to a well formidable and reliable power sector. This paper, therefore, seeks to identify the weak feeders in the network that should be prioritize and giving urgent attention to using the Principle of Pareto PP. Data for the study was collected for a period of five years (2011-2015) at the Transmission Company of Nigeria TCN, Benin City, Edo State. The data have been analyzed using the Vital Few Trivial Many VFTM Technique. Also, statistical analysis was carried to determine how far away the mean from the standard deviation is. The obtained results have been interpreted graphically on the excel software and from the findings, feeders that require major attention with respect to operation and maintenance are: Guinness, Koko, Ikpoba-Dam and Switch Station 33kV feeders respectively.
Pages: 27-30  |  480 Views  151 Downloads
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