Single-Phase Phase Angle Measurements in Electric Power Systems

Xia, Tao; Liu, Yilu

doi:10.1109/tpwrs.2009.2031649

Cited by 77 publications

(21 citation statements)

References 5 publications

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“…Substituting (10) into (11) and obtaining the first derivative of penalty E with respect to C ; C can be deduced by setting the derivative to zero. Then C is calculated by…”

Section: B B-spline Basis Functionsmentioning

confidence: 99%

Power grid frequency data conditioning using robust statistics and B-spline functions

Liu

Yuan

Markham

et al. 2012

2012 IEEE Power and Energy Society General Meeting

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The Frequency Monitoring Network (FNET) has provided a low-cost and easy way to collect wide-area frequencies with high dynamic accuracy in North American power grids. In practice, frequency measurements collected by the Frequency Disturbance Recorders (FDRs) contain outliers such as missing segments or spikes due to hardware and/or network failure, and 1-D median filtering is commonly used to eliminate these outliers. However, this filtering removes the spikes as well as the detailed information of frequency variation, and is incapable of replacing the missing data. In this paper, robust statistics is incorporated with B-spline function to handle outliers in the FDR raw data. The spikes are first identified by a preset threshold of robust statistics, then the spikes and the missing data are replaced using B-spline smoothing, which reconstructs the FDR data by a linear combination of a family of B-spline basis functions defined by the de Boor recurrent formula. Roughness of the constructed curves is controlled to avoid the over-fitting problem of this technique. The proposed method is only used for outliers and keeps the rest of the FDR raw data intact. Test examples validate this method, and its application may be easily extended to time series data in other fields.

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“…Substituting (10) into (11) and obtaining the first derivative of penalty E with respect to C ; C can be deduced by setting the derivative to zero. Then C is calculated by…”

Section: B B-spline Basis Functionsmentioning

confidence: 99%

Power grid frequency data conditioning using robust statistics and B-spline functions

Liu

Yuan

Markham

et al. 2012

2012 IEEE Power and Energy Society General Meeting

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show abstract

“…However, signal significant errors will arise due to the spectral leakage issue of DFT in the presence of frequency deviation [8][9][10]. The efforts that have been proposed to improve the accuracy of DFT-based estimation algorithm under off-nominal frequency conditions [11][12][13][14][15][16][17]. However, the efforts increase the implementation complexity and may slow down the dynamic response.…”

Section: Introductionmentioning

confidence: 99%

A Fixed Length Adaptive Moving Average Filter-Based Synchrophasor Measurement Algorithm for P Class PMUs

2019

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Accurate and fast synchrophasor measurement is the key to the wide applications of PMUs in the system-wide monitoring and reliable operation of smart grid. To address this issue, a fixed length moving average filter-based synchrophasor measurement algorithm for P class phasor measurement units (PMUs) (FA-PSMA) is proposed in this paper. Firstly, a novel fixed length adaptive moving average filter (FAMAF) is proposed. The FAMAF has an adaptive filter capability with a fixed data window length. Then, the FAMAF is applied after a phase-locked loop (PLL) for enhanced disturbance rejection capability under frequency drifts. Finally, a detailed performance assessment is presented to validate the performance of the proposed FA-PSMA. Theoretical analysis and simulation results validate that the proposed FA-PSMA can track the grid frequency and phasor accurately under distorted grid conditions. The response time and measurement accuracy satisfy the requirements specified in IEC/IEEE 60255-118-1.

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“…FFT is one of the most popular power harmonics analysis methods and can decompose the current waveform into a series of simple sinusoids. Wide area measurement systems (WAMS) are becoming more utilized in real-time measurement of network parameters, and synchronized phasor measurement unit (PMU) data can be used to support high accuracy harmonic analysis of power grids [2,3]. However, PMUs generally measure the data asynchronously for a variety of reasons.…”

Section: Introductionmentioning

confidence: 99%

A novel power harmonic analysis method based on Nuttall-Kaiser combination window double spectrum interpolated FFT algorithm

Jin

Chen

Flesch

2017

Journal of Electrical Engineering

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Harmonics pose a great threat to safe and economical operation of power grids. Therefore, it is critical to detect harmonic parameters accurately to design harmonic compensation equipment. The fast Fourier transform (FFT) is widely used for electrical popular power harmonics analysis. However, the barrier effect produced by the algorithm itself and spectrum leakage caused by asynchronous sampling often affects the harmonic analysis accuracy. This paper examines a new approach for harmonic analysis based on deducing the modifier formulas of frequency, phase angle, and amplitude, utilizing the Nuttall-Kaiser window double spectrum line interpolation method, which overcomes the shortcomings in traditional FFT harmonic calculations. The proposed approach is verified numerically and experimentally to be accurate and reliable.K e y w o r d s: power system, harmonic analysis, barrier effect, window function, FFT

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Single-Phase Phase Angle Measurements in Electric Power Systems

Cited by 77 publications

References 5 publications

Power grid frequency data conditioning using robust statistics and B-spline functions

Power grid frequency data conditioning using robust statistics and B-spline functions

A Fixed Length Adaptive Moving Average Filter-Based Synchrophasor Measurement Algorithm for P Class PMUs

A novel power harmonic analysis method based on Nuttall-Kaiser combination window double spectrum interpolated FFT algorithm

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