Abstract
Frequency and phasor are two important parameters in power systems. Accurate estimation of these parameters is required for understanding the system operating condition. Many algorithms have been developed for estimating these parameters. Most of the developed algorithms are suitable either for complex-valued signal or they assume a static phasor model in which the amplitude, frequency, and phase angle are considered to be constant over a specific observation window. In this project, two algorithms that address the above issues differently are presented. The first algorithm, joint frequency, and phasor estimation algorithm using DFT samples work for real-valued signal and the second one, dynamic phasor estimation based on Amplitude Modulation (AM) and Phase Modulation (PM) signal model, works on a dynamic signal model. The test of the first algorithm gives us a very good performance. Similarly, the second algorithm is tested over a range of steady-state and dynamic conditions and it is able to estimate the parameters accurately and the performance errors in this method are much lower than the P-class Phasor Measurement Unit (PMU) standard requirement.