MODELING RELIABILITY PARAMETERS OF THE OPERATIONAL CONDITION OF 6-10 KV RURAL POWER SUPPLY

Abstract

This study models and analyzes the reliability of 6-10 kV rural power supply systems, emphasizing the assessment of SAIDI and SAIFI reliability indices using a Feedforward Neural Network (FNN) model. Due to the absence of backup systems, unplanned outages in rural power grids can significantly disrupt electricity supply. Planned outages are managed through maintenance schedules, whereas unplanned outages arise from various factors, including equipment failure, natural events, and human error. The FNN model is employed to forecast SAIDI and SAIFI values based on historical data, allowing for predictive insights into system reliability. Results indicate a projected increase in outage indices over the next five years, underscoring the need for proactive measures to enhance system resilience.