Power System Frequency Estimation by Using a Newton-Type Technique for Smart Meters

Abstract

This paper proposes a single-phase grid voltage fundamental frequency estimation technique for smart meters. The technique relies on a nonlinear Newton-type algorithm and a recursive differentiation filter (NTA-DF). It can reject the negative effects caused by dc offset, harmonics, notches, and spikes. When compared with a NTA technique based on least-squares (NTA-LS), the proposed one reduces matrix dimensions, avoids matrix inversion, and is computationally efficient, thus requiring less hardware and associated cost for real-time implementation. Moreover, unlike the NTA-LS technique, the NTA-DF shows less sensitivity to the presence of harmonics. Simulation and experimental results are presented to verify the performance of the proposed technique. IndexTerms-Frequency estimation, Newton-type algorithm (NTA), single-phase voltage system, smart grid, smart meters (SMs).

Performance analysis of smart metering for smart grid: An overview

“…dc offset, harmonics, frequency drifts, amplitudes, notches and spikes) can estimate fundamental frequency, which is useful for SMs [55].…”

Recent Development of Frequency Estimation Methods for Future Smart Grid

“…Efforts on phasor and frequency estimation algorithms have been made to improve the performances of PMUs. A Newton-Type method is reported [23] to reject the negative effects of dc offset and harmonics. Dynamic models are used in PMU algorithms such as Discrete Fourier Transform (DFT), interpolated Discrete Fourier Transform (ipDFT), and Least Mean Square (LMS) methods [22,24,25].…”

Curve Fitting Approach for Fundamental Frequency Measurement for Power Systems

“…Accurately measuring the frequency of a power system is important for evaluating the stability of the system. (1)(2)(3)(4)(5)(6) At present, many techniques have been proposed for measuring the power system frequency. Common techniques include frequency domain interpolation, Prony's method, (7,8) the zero crossing method, (9,10) discrete Fourier transform (DFT) or fast Fourier transform (FFT), (1,3,6) and so on.…”