Web Environment for Diagnosis and Estimation of Power System Electromechanical Modes Based on Yule-Walker and Welch Methods

Abstract

Real-time monitoring of the power grid has become increasingly viable due to the advances in phasor measurement units (PMUs) technology, allowing system operators to analyze a whole set of different events and dynamics present in the system. One particularly interesting dynamic observed via PMU data is electromechanical oscillations, which pose a real threat to power system stability. This paper presents the development of a web environment designed to estimate electromechanical modes present in the distribution grid based on real-time data from µPMU units. Those µPMUs are located at different campuses of the Universidade Federal do Paraná (UFPR). To achieve the mode estimation, the well-known Welch and Yule-Walker algorithms are used. A brief explanation about these methods is provided, as well as all the interfaces features, such as the signal processing techniques and a set of configurable parameters by the end user whose influence on the overall result can then be assessed. To validate the usability of the web environment, a demonstration of both the Welch and Yule-Walker mode estimations using actual real-time µPMU data is displayed.