Evaluación inversa de la confiabilidad del sistema de distribución de la Empresa Eléctrica Regional Centro Sur C.A.

Abstract

Generally, the reliability evaluation is approached by finding the reliability indices, from the reliability parameters of the components that make up the electrical system. This article addresses the problem in reverse, finding the unknown parameters from the system indexes, this is called the IRE (Inverse Reliability Evaluation) problem. The IRE problem model is formulated and solved using a system of non-linear equations. Granularity is added to the problem by dividing the feeders into reliability zones using an outage log. For this, an algorithm has been implemented in Python, with the help of the DIgSILENT PowerFactory software. In order to verify the effectiveness of the model and the solution method, these are implemented in 3 substations of the Empresa Eléctrica Regional Centro Sur C. A.