Desarrollo de un software para la detección y ubicación de fallas en un sistema eléctrico de potencia usando el módulo DPL de DIg SILENT PowerFactory

Abstract

The electric power system (EPS) allows to transfer power from generation sources to load centers. The failures in the system alter the operating conditions and could eventually lead to system instability or interruption of electricity service. There are equipment that allow to take certain measurements, which prove to be necessary for operational analysis and of fault events in real time. The application of the phasor technology offers new possibilities for monitoring, protection, analysis and control of the EPS. In this project, an algorithm is implemented to localize a failure using phasor data, which improves traditional methods. The implemented algorithm distinguishes responses of several linearized models against measurements mode during the transient response after the failure. Based on this, a Maximum Likelihood A-posteriori (MAP) detector is implemented, which uses statistical inference from several hypotheses to determine the probability of a failure from the measurements. The algorithm is implemented in the DPL software module PowerFactory DIgSILENT. The different experiments prove that the developed software is able to distinguish the most likely scenario from a list of possible scenarios