Estimación Paramétrica de Sistemas Eléctricos de Potencia para Modelos de Tiempo Real y Fuera de Línea

Abstract

The algorithms of conventional state estimation based on the assumption that the parameters of the lines (resistance, reactance, power transformers, etc.) and the state of the switches do not have errors, which is not always the case. Errors in the impedances of the branches are less visible errors in the states of the switches and be errors in the data provided by the estimator continuously and for long periods of time without such mistakes are discovered. Errors in the parameters can impact on the estimation of similar or higher than that of undetected errors in measurement state. In this document a program to identify error parameters based on an algorithm that uses Lagrange multipliers develops. This algorithm is applied to case studies in different conditions of demand obtained from real-time systems EMS and offline PowerFactory of DIgSILENT. After identifying the network equipment that is malformed parameters, calculation alternatives arise correction parameter measurements using phasor measurement equipment PMUs. Additionally, methods of modeling three-winding transformers with tap and LTC are presented. Index Terms-- State Estimation, Parametric Estimation, PMU, Lagrange Multipliers, Modeling Transformers.