Kalman filtering based approach for light flicker evaluation of power systems

Kose, Neslihan; Salor, Özgül; Leblebi̇ci̇oğlu, Kemal

doi:10.1049/iet-gtd.2009.0702

Cited by 22 publications

(5 citation statements)

References 5 publications

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“…Another widely exploited choice for voltage fluctuation monitoring is adaptive filtering-based methods [12,13,14,15]. The ability to adapt the filter parameters according to the measured waveform characteristics makes it a good choice for voltage fluctuation analysis.…”

Section: A Review Of Related Work and Motivationmentioning

confidence: 99%

“…This system has utilized a fuzzy rule-based logic to tune the system parameters. Kose et al [13] proposed an approach combining an extended Kalman filter (EKF) and linear Kalman filter (LKF) for voltage flicker evaluation. In this approach, EKF provides the voltage envelope and LKF provides the magnitudes around the fundamental frequency.…”

Section: A Review Of Related Work and Motivationmentioning

confidence: 99%

“…-Suitable parameter tuning -Mathematical complexity EKF-LKF [13] Voltage envelope extraction using EKF. Magnitude and frequency estimation using LKF.…”

Section: Adaptive Filteringmentioning

confidence: 99%

See 2 more Smart Citations

A Data-Driven Hybrid Methodology Using Randomized Low-Rank DMD Approximation and Flat-Top FIR Filter for Voltage Fluctuations Monitoring in Grid-Connected Distributed Generation Systems

et al. 2023

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The voltage fluctuations are caused by variations in renewable energy source outputs, increased usage of nonlinear loads, high reactive power consumption of loads, etc. This results in damage to electric components and enormous economic losses. It is necessary to measure the parameters of voltage fluctuations and flicker levels to achieve a secure supply of power. However, higher-order harmonics and noises in voltage waveform make such assessment a burdensome task. The traditional techniques fail to provide exact monitoring due to the uncharacteristic variations in the input voltage signal. Nowadays, data-driven methods have become a prominent choice for non-stationary, nonlinear signal analysis as it efficiently tackles atypical changes by its capability to identify spatio-temporal information from given data. The present paper proposes a data-driven hybrid methodology for monitoring voltage fluctuations using the low-rank approximation of dynamic mode decomposition (DMD) and flat-top finite impulse response (FIR) filter. The low-rank approximation of DMD enables to identify the spatio-temporal coherent structures from the data by mapping the data into a lower-dimensional space. Adaptive flat-top FIR filter tracks the fundamental dynamic phasor by identifying the instantaneous frequency, magnitude and phase variations. The performance of the proposed hybrid methodology is assessed using different test cases, and is compared with various existing approaches. The promising results suggest that the proposed methodology can be used for accurate parameter identification and monitoring voltage fluctuations in smart grid scenarios. It can also be used as an accurate tool in distribution grids to detect higher-order harmonics. INDEX TERMSDynamic mode decomposition, Flat-top FIR filter, Power quality, Hankelization, Smart grid, Voltage fluctuations I. INTRODUCTION Voltage fluctuations are defined as random or systematic changes in the voltage envelope. According to the Information, Education & Communication (IEC) standards the voltage fluctuations are 10% of the rated voltage [1]. The major sources of voltage fluctuations are (1) the presence of nonlinear loads such as electric arc furnaces (EAF), arc welders, and large motors, (2) variations in renewable energy resources such as photovoltaic and wind power generator output, (3) increased reactive power consumption of loads, (4) switching of power factor capacitors, etc. The voltage fluctuations can result in undesired illumination effects

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Section: A Review Of Related Work and Motivationmentioning

confidence: 99%

Section: A Review Of Related Work and Motivationmentioning

confidence: 99%

See 1 more Smart Citation

A Data-Driven Hybrid Methodology Using Randomized Low-Rank DMD Approximation and Flat-Top FIR Filter for Voltage Fluctuations Monitoring in Grid-Connected Distributed Generation Systems

et al. 2023

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“…Different voltage flicker detection methods have been proposed. There are two types of methods, one is the method using filters, including the IEC recommended square demodulation method [6], the fast Fourier transform (FFT) [7,8], and Kalman filter [9]. The other is the method without filters, including the Hilbert-Huang transform (HHT) [10,11] and the S-transform [12].…”

Section: Introductionmentioning

confidence: 99%

Simplified and fast method without considering filter for voltage flicker detection

Xia

Gao

et al. 2020

IET Generation, Transmission & Distribution

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“…The existence of harmonics in power systems is one case that makes it difficult to calculate the fundamental power. Electric loads such as power electronic devices, electric arc furnaces (EAFs; AC and DC) and induction furnaces inject harmonics into the power systems (Hooshmand et al, 2008; Kose et al, 2011; Melicio et al, 2010; Moallem et al, 2013; Yong et al, 2010). Fourier-based methods have been adopted for power calculation with harmonics.…”

Section: Introductionmentioning

confidence: 99%

Enhancement of power measurement using a modified method based on wavelet with preprocessing: electric arc furnace case study

Modarresi

Hooshmand

Nosratabadi

2014

Transactions of the Institute of Measurement and Control

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In this paper, a new method is proposed for fundamental power calculation based on a wavelet transform with preprocessing by the Hilbert transform. The proposed method increases the frequencies of all harmonics by half of the main frequencies and locates both odd and even harmonics in the centres of the extracted frequency bands. Unlike the conventional method, there is no frequency interference and the fundamental power calculation is enhanced. In order to examine the proposed method, the steel electric arc furnace (EAF) of the Mobarakeh Steel Company, Esfahan, Iran is simulated in MATLAB software at the early stage of charging. Then the fundamental active, reactive and apparent power of the EAF are calculated using simulated and real data. Results confirm the effectiveness of the proposed method.

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Kalman filtering based approach for light flicker evaluation of power systems

Cited by 22 publications

References 5 publications

A Data-Driven Hybrid Methodology Using Randomized Low-Rank DMD Approximation and Flat-Top FIR Filter for Voltage Fluctuations Monitoring in Grid-Connected Distributed Generation Systems

A Data-Driven Hybrid Methodology Using Randomized Low-Rank DMD Approximation and Flat-Top FIR Filter for Voltage Fluctuations Monitoring in Grid-Connected Distributed Generation Systems

Simplified and fast method without considering filter for voltage flicker detection

Enhancement of power measurement using a modified method based on wavelet with preprocessing: electric arc furnace case study

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