Distribution System Reliability Evaluation (Study Case On Kigali Network)

Distribution system reliability evaluation involves gathering outage data and evaluating system designs. The great majority of service interruptions that affect customers are caused by problems on the distribution system. Historical assessment and predictive methods are normally used to evaluate the reliability of a distribution network.Most utilities focus more on historical assessment rather than predictive methods. Predictive methods are categorized into analytical and simulation methods. The difference between these methods is the way in which the system reliability indices are evaluated. In this thesis, both analytical and simulation methods to calculate the basic load point reliability indices such as Average failure rates (k) and Annual outage time (U) and System Average Interruption Frequency Index (SAIFI) and other indices like System Average Interruption Duration Index (SAIDI), Customer Average Interruption Duration Index (CAIDI), Average Service Availability/Unavailability Indices (ASAI/ASUI), Energy not supplied (ENS) and Average Energy Not Supplied (AENS) for Nyamirambo distribution feeder.This thesis examines how the network configuration and operational policy affect not only load point indices but also other system indices like System Average Interruption Duration Index (SAIDI) and System Average Interruption Frequency Index (SAIFI).