Parks Transformation Based Formulation For Power Systems Transients Detection

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.