A Real-time Study for Frequency Estimation of unbalanced Power System
Main Article Content
Abstract
Frequency is an important parameter in
power system for indicating the dynamic balance between amount of power generated and amount of power consumed. Small changes in system frequency
can affect the operation of a power system in a great manner. Thus, estimating the frequency is one of the most important tasks in the power system operation. A least mean square (LMS) algorithm with varying
step size to estimate the frequency is studied in this report and its performance under the influence of harmonics, noise, unbalanced conditions, step changes in frequency, etc. is observed through various
simulations. Next, Frequency estimation is carried out with an improved Non-linear Least Squares (NLS) method in which frequency is estimated through a 1-D
search over a specified range. The validity of method under different conditions including line to ground fault is also tested. This method is also verified using the data obtained from an experimental setup consisting of a non-linear load.
power system for indicating the dynamic balance between amount of power generated and amount of power consumed. Small changes in system frequency
can affect the operation of a power system in a great manner. Thus, estimating the frequency is one of the most important tasks in the power system operation. A least mean square (LMS) algorithm with varying
step size to estimate the frequency is studied in this report and its performance under the influence of harmonics, noise, unbalanced conditions, step changes in frequency, etc. is observed through various
simulations. Next, Frequency estimation is carried out with an improved Non-linear Least Squares (NLS) method in which frequency is estimated through a 1-D
search over a specified range. The validity of method under different conditions including line to ground fault is also tested. This method is also verified using the data obtained from an experimental setup consisting of a non-linear load.