A Two-Stage Algorithm to Estimate the Fundamental Frequency of Asynchronously Sampled Signals in Power Systems

Abstract

A two-stage algorithm is proposed for the estimation of the fundamental frequency of asynchronously sampled signals in power systems. In the first stage, time-domain interpolation reconstructs the power system signal at a new sampling time and the reconstructed signal passes through a tuned sine filter to eliminate harmonics. In the second stage, the fundamental frequency is estimated using a modified curve fitting, which is robust to noise. The evaluation results confirm the efficiency and validity of the two-stage algorithm for accurate estimation of the fundamental frequency even for asynchronously sampled signals contaminated with noise, harmonics, and an inter-harmonic component.

An Innovative Calibration Scheme for Interharmonic Analyzers in Power Systems under Asynchronous Sampling

“…In Reference [17], the method recommended by IEC was improved for asynchronous sampling conditions, but it requires that the fundamental component of the original signal is synchronously sampled. In Reference [18], a two-stage DFT-based algorithm was proposed to optimize the IEC-approach for asynchronously sampled signals. It can be used to estimate the frequency of each component, but not the amplitude parameter.…”

Electric Power Systems Research

“…The transmission system category covers high-voltage direct current (HVDC), FACTS, and thermal standards [5,8,12,21]. The distribution system category covers many topics, such as voltage control, network reconfiguration, microgrids, power quality, smart distribution, and multi-agents [6,10,11,14,20,22]. The end-users category covers demand response, frequency control, and critical peak pricing [7,15,18,19].…”

“…Energies 2016, 9, 824 2 of 3 multi-agents [6,10,11,14,20,22]. The end-users category covers demand response, frequency control, and critical peak pricing [7,15,18,19].…”