Analytic Mode Decomposition and Windowed Three-Point Interpolated Chirp-Z Transform for Voltage Flicker Components Detection

Wu, Cong; Gao, Yunpeng; Li, Canbing; Cao, Yijia; Iravani, Reza

doi:10.1016/j.epsr.2020.106382

Cited by 8 publications

(4 citation statements)

References 26 publications

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“…In essence, voltage fluctuation is a rapid voltage deviation. Voltage deviation is mainly used to measure the degree of deviation of the actual voltage value from the rated voltage at a certain moment or time period, and is a static indicator [27]. Whereas, voltage fluctuation is mainly used to measure the change in the voltage value at the common connection point caused by fluctuating loads.…”

Section: Voltage Fluctuations and Flickermentioning

confidence: 99%

Design of Online Intelligent Detection System for Power Quality and Fault Identification in Distribution Networks

He,

Zhang

et al. 2023

Applied Mathematics and Nonlinear Sciences

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This paper lays the foundation for the subsequent analysis of power quality in distribution networks by briefly describing the indicators of power quality. Utilizing the zero sequence voltage mutation detection fault of a small current routing algorithm, the instantaneous values of voltage and current of each phase of the three-phase circuit are quickly calculated based on the electrical parameters of instantaneous reactive power and the online intelligent detection system is established. The effectiveness and feasibility of the designed detection system and detection algorithm in detecting electrical energy parameters have been verified through experiments. The results show that the error of voltage measurement is within 0.0003-0.002, the frequency error of the system is up to 0.0117%, the measurement error of three-phase unbalance is distributed between 0.001 and 0.1, and the error of negative sequence and zero sequence is between ±0.003, which meet the system design requirements. It shows that the use of online intelligent detection systems can improve the quality of distribution network operation and fault identification accuracy, improve power quality, and effectively improve the reliability of power supply.

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Section: Voltage Fluctuations and Flickermentioning

confidence: 99%

Design of Online Intelligent Detection System for Power Quality and Fault Identification in Distribution Networks

He,

Zhang

et al. 2023

Applied Mathematics and Nonlinear Sciences

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“…Where f = f s / N. Due to the asynchronous sampling of FFT, the amplitude modulated signal frequency k i Δf cannot coincide with the sampling point (k i is usually non-integer), which affects the accuracy of the flicker envelope analysis [27].…”

Section: B Three-spectral Line Interpolation Modified Fftmentioning

confidence: 99%

“…Assume that the maximum spectral line near the actual peak spectral line k i of the flicker envelope is k j , and the left and right adjacent spectral lines of k j are k j-1 and k j+1 respectively [27,28]. Let  = k ik j (-0.5 <  < 0.5), then the corresponding amplitudes of the three spectral lines are expressed as…”

Section: B Three-spectral Line Interpolation Modified Fftmentioning

confidence: 99%

Voltage Flicker Parameter Estimation Based On Improved Analytic Energy Operator And Novel K-B Mutual Convolution Window

Li¹,

Gao²,

Feng³

et al. 2021

Preprint

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<a></a>It is difficult to measure voltage flicker parameter accurately and in real time under a complex power grid environment, a voltage flicker envelope extraction algorithm based on multi-point differential improved analytic energy operator (IAEO) is proposed, which simplified formula for extracting flicker envelope and a novel K-B optimal mutual convolution window function is constructed. Then, the correction formula of flicker amplitude and frequency is derived based on the three-spectral line interpolation of the novel K-B optimized mutual convolution window, and the estimation algorithm of voltage flicker parameter is proposed based on the IAEO and the novel K-B mutual convolution window. Finally, a voltage-flicker-parameter-estimation platform based on virtual instrument is developed. The simulation and experimental results show that the proposed algorithm can effectively measure voltage flicker parameter under single frequency modulation, multi-frequency modulation and fundamental frequency fluctuation. In addition, it can effectively overcome harmonics, interharmonics and noise interference. Compared with the existing estimation algorithm, the flicker envelope extraction is simpler, the measurement result is more accurate, and it is easy to implement embedded.<br>

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“…• voltage fluctuation modeled using amplitude modulation (AM) -typical model for a stiff power grid [28], [29], [30], [31],…”

Section: Introductionmentioning

confidence: 99%

Problem of Total Harmonic Distortion Measurement Performed by Smart Energy Meters

Kuwałek

Wiczyński

2022

Measurement Science Review

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Currently, electricity is treated as commodity that should be delivered from a distributor to a consumer with a certain quality. The power quality is defined by the set of measures with specific limit values. One of the basic measures is the Total Harmonic Distortion (THD), which allows to assess the level of the voltage distortion. The measurement of THD ratio should be carried out in accordance with the normative specification. It is assumed that this requirement is met by class A power quality analyzers. Currently, measures are taken to monitor power quality in a large number of measurement points with the use of smart energy meters that are part of the Advanced Metering Infrastructure (AMI). The paper presents the problem of THD ratio measurement by AMI meters if voltage fluctuations occur. In such situation, inconsistency in measurement results of AMI meters and class A power quality analyzers occurs. The problem is presented on the basis of laboratory study results in which disturbances in power grid are recreated.

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Analytic Mode Decomposition and Windowed Three-Point Interpolated Chirp-Z Transform for Voltage Flicker Components Detection

Cited by 8 publications

References 26 publications

Design of Online Intelligent Detection System for Power Quality and Fault Identification in Distribution Networks

Design of Online Intelligent Detection System for Power Quality and Fault Identification in Distribution Networks

Voltage Flicker Parameter Estimation Based On Improved Analytic Energy Operator And Novel K-B Mutual Convolution Window

Problem of Total Harmonic Distortion Measurement Performed by Smart Energy Meters

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