Investigating a probabilistic customer interruption costs and energy not supplied assessment for electric power distribution residential customers

Abstract

This paper investigates the use of probabilistic model to evaluate the customer interruption costs and energy not supplied (ENS) for residential customers of different classes (rural, semi-urban, urban) in power distribution systems. An average and a time varying model are used as base cases to compare with the probabilistic model. Each model is computed and simulated using MATLAB software package. The results demonstrate that each method used in the study produces different values of interruption costs and ENS. Each approach thus holds a level of accuracy and information that can be useful for power system planners and regulators by choosing the most relevant option for a particular application.