Date Available
11-25-2014
Year of Publication
2014
Document Type
Master's Thesis
Degree Name
Master of Science in Electrical Engineering (MSEE)
College
Engineering
Department/School/Program
Electrical and Computer Engineering
Advisor
Dr. Yuan Liao
Abstract
System stability plays an important role in electric power systems. With the development of electric power system, the scale of the electric grid is now becoming larger and larger, and many renewable energy resources are integrated in the grid. However, at the same time, the stability and safety issues of electric power system are becoming more complicated. Frequency and phasors are two critical parameters of the system stability. Obtaining these two parameters have been great challenges for decades. Researchers have provided various kinds of algorithms for frequency tracking and phasor estimation. Among them, Least Squares (LS) algorithm is one of the most commonly used algorithm. This thesis studies the LS algorithm and the Total Least Squares (TLS) algorithm working on frequency tracking and phasor estimation. In order to test the performance of the two algorithms, some simulations have been made in the Matlab. The Total Vector Error (TVE) is a commonly used performance criteria, and the TVE results of the two algorithms are compared. The TLS algorithm performs better than LS algorithm when the frequencies of all harmonic components are given.
Recommended Citation
Guo, Hengdao, "Frequency Tracking and Phasor Estimation Using Least Squares and Total Least Squares Algorithms" (2014). Theses and Dissertations--Electrical and Computer Engineering. 57.
https://uknowledge.uky.edu/ece_etds/57
