Analysis and Development of a Reliability Forecasting Model for Injection Substation
Journal Title: IOSR Journals (IOSR Journal of Electrical and Electronics Engineering) - Year 2017, Vol 12, Issue 4
Abstract
This paper is aimed at analyzing and developing a reliability forecasting model for an Injection Substation; a case study of Ugbowo 33/11kV Injection Substation. This project seeks to determine the current reliability state of the station and suggest realistic as well as possible remedies to ensuring high reliability. In the course of the project, data for a period of three (3) years were collected from Benin Electricity Distribution Company, Ugbowo 33/11kV Injection Substation logbooks. The data consists of the time of power outage, causes of such outage, the load loss and date of occurrence. These data were analyzed using computational techniques and a Non Linear Regression (NLR) was used in order to achieve the aim of this project. The analysis of the data shows that the average reliability was very poor; Ugbowo, 23.68%, Uselu 25.20%, FGGC, 22.30%, Eguadiaken, 22.54% and an average system reliability of 23.43%. This was due to frequent power outages resulting from load shedding, earth fault, over current and loss of power supply from the source. It is therefore recommended that BEDC should either build a new station or expand the existing to one to meet the current load demand of the customer of her customer in other to combat the prevailing problems, more investment in human and financial resources is needed to maintain the above condition as well as adopting an efficient maintenance scheme that will incorporate routine check on equipment and the entire system to prevent breakdown or reduce restoring time during any breakdown or fault in the system.
Authors and Affiliations
Hamdani . , Solly Aryza, Zuraidah Tharo
Keywords
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- EP ID EP388258
- DOI 10.9790/1676-1204043438.
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