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Abstract
This study aimed to assess the reliability of the OF 2x7.5MVA, 33kV/11kV Etete Injection Sub- Station, with a primary focus on understanding the historical performance and identifying key factors influencing its reliability. The objectives included conducting a comprehensive analysis of historical outage data, maintenance records, and operational parameters. Additionally, the study aimed to derive insights into the critical components and practices that affect substation reliability and develop recommendations for enhancing its pe formance. The research employed a multifaceted methodology, combining quantitative and qualitative approaches. Historical data, including outage records and maintenance logs, were meticulously collected and analyzed. Statistical tools, including reliability indices and time-series analysis, were employed to assess the substation's historical performance and outage patterns. Interviews with maintenance personnel and key stakeholders provided valuable qualitative insights. The study also considered external factors such as weather conditions and regulatory frameworks that influence substation reliability. Predictive modeling was used to extrapolate future scenarios, assessing the substation's ability to meet evolving demands. The study concludes that the reliability of the Etete Injection Substation varies based on observed variations in historical performance data. Over the past five years, the substation experienced an average of 9 outages annually, with an average outage duration of 3.5 hours. Outage frequencies exhibited a noticeable seasonal pattern, with an increase during the rainy season. Critical components, including transformers and circuit breakers, accounted for 70% of all outages. The overall reliability of the injection substation is 39.33% over the study period and this shows that the substation is not reliable. Furthermore, our predictive modeling revealed that withoutintervention, the substation may face a 20% increase in outages in the next three years
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