Estimación de Estado empleando mediciones convencionales y fasoriales aplicado al Sistema Nacional Interconectado del Ecuador

Abstract

The present work proposes to implement the mathematical formulation of a Non- Linear Hybrid State Estimator dedicated to supervision of a Power System, which incorporates in its algorithm the conventional measurements of the SCADA system (Supervisory Control and Data Acquisition) and synchronized measurements of the WAMS system (Wide Area Monitoring System). The implemented hybrid estimator is modeled as an optimization problem subject to equality and inequality constraints. The technique used to solve the problem is the Primal Dual Interior Point method.

Using the mathematical functions of the Python programming environment, a computational application is developed that performs the static state estimation for an electrical system of n buses. The application estimates the operation scenario considering the network model, the accuracy of the equipment and the SCADA / WAMS measurements. The computer program is applied to the test networks of 5 bus, 39 modified nodes of the IEEE and to the observable network of the National Interconnected System of Ecuador, whose model was obtained from CENACE’s EMS. Finally, for the last simulation, the results are compared with the CENACE’s Conventional Estimator.