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Estimation of Power System Electromechanical Dynamics by Processing Ambient Data Measured by PMUs
, M.Sc. Thesis Sharif University of Technology ; Parniani, Mostafa (Supervisor)
Abstract
In recent years, the architecture of power systems has evolved in such a way to ease the use of Wide Area Measurement Systems (WAMS) to monitor real time situation of the grid. One of the most prevalent approaches for monitoring power systems is using data gained from Phasor Measurement Units (PMUs) and implementing advanced signal processing algorithms. By this way, tracking the electromechanical oscillatory modes of systems and stability evaluation become attainable. Unlike the model-based methods of estimating electromechanical modes, in which non-linear differential equations are linearized around the operation point, measurement-based methods lead to more accurate and continuously...
Different approaches for estimation of dampings and frequencies of electromechanical modes from PMU ambient data
, Article 2015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 - Conference Proceedings, 10 June 2015 through 13 June 2015 ; June , 2015 , Pages 1748-1753 ; 9781479979936 (ISBN) ; Hatami, M ; Parniani, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2015
Abstract
Small signal stability of power systems is one of the most crucially important issues, since the electrical demand is increasing at a galloping rate and power systems are expanding day by day. In this regard, estimation of dampings and frequencies of electromechanical modes through the analysis of field measurements has become a heated study topic for electrical power system researchers in recent years. There have been several methods to analyze different types of Phasor Measurement Units (PMUs) signals i.e., transient, ambient, and probing. Among the proposed techniques, those which are capable of analyzing ambient data seems to be more practical, since this type of data can be achieved...