Journal ArticleDOI
Bandpass Second-Degree Digital-Integrator-Based Power System Frequency Estimation Under Nonsinusoidal Conditions
Arghya Sarkar,Samarjit Sengupta +1 more
Reads0
Chats0
TLDR
A novel digital signal processing algorithm for online estimation of the fundamental frequency of the distorted power system signals is presented, which provides a higher degree of immunity and insensitivity to harmonics and noise and faster response during step frequency change.Abstract:
A novel digital signal processing algorithm for online estimation of the fundamental frequency of the distorted power system signals is presented. The basic algorithm relies on the development of an efficient variance reduction algorithm; and design of a new stable bandpass infinite impulse response (IIR) second-degree digital integrator (SDDI) with reduced approximation error. Compared with the well-established technique such as the enhanced-phase-locked-loop (EPLL) system, the proposed algorithm provides the following: 1) higher degree of immunity and insensitivity to harmonics and noise and 2) faster response during step frequency change. Structural simplicity, wide range of application, controls over speed and accuracy, and parameter robustness are other salient features of the method. The only limitation as compared with the EPLL system is its slower transient response during step change in signal magnitude. Based on simulation studies, performances of the proposed algorithm at different operating conditions have been presented, and its accuracy and response time have been compared with the EPLL systems.read more
Citations
More filters
Journal ArticleDOI
Power System Frequency Estimation by Reduction of Noise Using Three Digital Filters
Jin Kwon Hwang,Penn Markham +1 more
TL;DR: A DFT-based frequency estimation algorithm is proposed to introduce three digital filters for reduction of estimate error due to noise and the leakage effect and compensates the estimate error, which is induced from the DFT magnitude ratios of three filtered outputs.
Journal ArticleDOI
A Subspace-Based Dynamic Phasor Estimator for Synchrophasor Application
TL;DR: A high sampling rate and few modifications in the subspace-based techniques are suggested to estimate the voltage phasor with a fundamental frequency component without using antialiasing filter to the input signal.
Journal ArticleDOI
Complex-Valued Least Squares Frequency Estimation for Unbalanced Power Systems
TL;DR: It is shown that the CLS approaches based on four-point relationships are favorable in practical applications, since the optimal phase interval attains statistically unbiased frequency estimation in the presence of both noise and harmonic pollution, which is impossible when using their three-point counterpart.
Journal ArticleDOI
On LS-Based Power Frequency Estimation Algorithms
TL;DR: This paper extends and generalizes the approach by decoupling of task of canceling dc component from the least-squares estimation task, and two different algorithms derived as particular cases of this generalized approach are investigated.
References
More filters
Book
Discrete-Time Signal Processing
TL;DR: In this paper, the authors provide a thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete time Fourier analysis.
Book
Introduction To Variance Estimation
TL;DR: The method of random groups and the Bootstrap method have been used for estimating variance in complex surveys as discussed by the authors, as well as the Jackknife method and Taylor series methods for generalized variance functions.
Estimating and Interpreting The Instantaneous Frequency of a Signal
TL;DR: In this paper, the concept of instantaneous frequency (IF) is extended to discrete-time signals, and the specific problem of estimating the IF of frequency-modulated (FM) discrete time signals embedded in Gaussian noise is explored.
Journal ArticleDOI
Estimating and interpreting the instantaneous frequency of a signal. II. Algorithms and applications
TL;DR: The concept of instantaneous frequency (IF) is extended to discrete-time signals and methods based on a modeling of the signal phase as a polynomial have been introduced.
Journal ArticleDOI
A Nonlinear Adaptive Filter for Online Signal Analysis in Power Systems: Applications
TL;DR: In this paper, a nonlinear adaptive notch filter based on the concept of an enhanced phase-locked loop (PLL) is proposed for online signal analysis for power systems protection, control and power quality enhancement.