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EN
As many other industrial environments, the railway electromagnetic environment is characterized by a large number of electromagnetic signals and disturbances. Among these, transient signals, with high energy level and wide frequency spectrum, represent an important threat to different signaling subsystems. In this paper, a new methodology dedicated to the detection and the characterization of the transient disturbances is presented. Based on a flexible and adjustable time-frequency analysis, this methodology is used to evaluate the impact of transient disturbances on a ground-to-train radio communication. A test bench was developed in order to validate the results of this evaluation.
EN
This paper presents proposed developments of a new formulation and a full algorithm for transient detection by applying Parks transformation. This approach consist in transforming three-phase voltage or current signals into Parks components known as direct, quadrature, and zero axes components. The input signals are local measurements of a power transmission or distribution system. Then, transients are superimposed in three-phase signals that can be detected in Parks components through the finite difference between samples. A full algorithm for the transient detection is presented and envisions the possibility of being applied in real time. In order to demonstrate the proposed algorithms performance, four case studies are considered: capacitor energizing, distribution transformer energizing, permanent resistive fault, and high impedance fault. These cases were simulated on a typical Brazilian sub-transmission line using Alternative Transient Program. As demonstrated by the case studies, the proposed formulation introduces further improvements for transient detection in power systems.
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