Voltage sag and swell detection and segmentation based on Independent Component Analysis

Nagata, Erick A.; Ferreira, Danton Diego; Duque, Carlos A.; Cequeira, Augusto S.

doi:10.1016/j.epsr.2017.10.029

Cited by 42 publications

(22 citation statements)

References 13 publications

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“…To separate a monitoring data sequence into several data blocks, segmentation has been implemented in many fields, including medicine and speech analysis [17][18][19]. Similar to the definition in other fields, a transition segment of a voltage sag waveform can be defined as a nonstationary segment from one stationary segment to another.…”

Section: The Definition and Original Cause Of Transition Segmentsmentioning

confidence: 99%

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An Adaptive Approach for Voltage Sag Automatic Segmentation

Xiao

Zhang

et al. 2018

Energies

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Voltage sag characterization is essential for extracting information about a sag event’s origin and how sag events impact sensitive equipment. In response to such needs, more characteristics are required, such as the phase-angle jump, point-on-wave, unbalance, and sag type. However, the absence of an effective automatic segmentation method is a barrier to obtaining these characteristics. In this paper, an automatic segmentation method is proposed to improve this situation. Firstly, an extended voltage sag characterization method is described, in which segmentation plays an important role. Then, a multi-resolution singular value decomposition method is introduced to detect the boundaries of each segment. Further, the unsolved problem of how to set a threshold adaptively for different waveforms is addressed, in which the sag depth, the mean square error, and the entropy of the sag waveform are considered. Simulation data and field measurements are utilized to validate the effectiveness and reliability of the proposed method. The results show that the accuracies of both boundary detection and segmentation obtained using the proposed method are higher than those obtained using existing methods. In general, the proposed method can be implemented into a power quality monitoring system as a preprocess to support related research activities.

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Section: The Definition and Original Cause Of Transition Segmentsmentioning

confidence: 99%

“…Transition segment (17) where σ are singular values as shown in Figure 4b and τ is the threshold value. In this paper, a differential waveform of the voltage magnitude, where a quarter-cycle overlapping calculation window is used, is taken as the input signal for the MRSVD method.…”

Section: Stationary Segmentmentioning

confidence: 99%

An Adaptive Approach for Voltage Sag Automatic Segmentation

Xiao

Zhang

et al. 2018

Energies

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“…PQ disturbance is basically explained as any change of voltage, current or frequency in power that affects the normal operation of the machine or equipment [2]. Electrical device or equipment used in the industries are sensitive to the occurrence of PQ disturbances, which will bring impact to economic losses [3]. So, PQ is becoming one of an important issues in modern power systems [4].…”

Section: Introductionmentioning

confidence: 99%

Voltage variations identification using gabor transform and rule-based classification method

Tee¹,

Yusoff²,

Yaakub³

et al. 2020

IJECE

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This paper presents a comparatively contemporary easy to use technique for the identification and classification of voltage variations. The technique was established based on the Gabor Transform and the rule-based classification method. The technique was tested by using mathematical model of Power Quality (PQ) disturbances based on the IEEE Std 519-2009. The PQ disturbances focused were the voltage variations, which included voltage sag, swell and interruption. A total of 80 signals were simulated from the mathematical model in MATLAB and used in this study. The signals were analyzed by using Gabor Transform and the signal pattern, timefrequency representation (TFR) and root-mean-square voltage graph were presented in this paper. The features of the analysis were extracted, and rules were implemented in rule-based classification to identify and classify the voltage variation accordingly. The results showed that this method is easy to be used and has good accuracy in classifying the voltage variation.

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“…Currently, voltage waveform namely swells and sags are the most problems in the electric power system and quality problems [1,2]. Enhance the performance of the power system adding some controllable custom power devices like dynamic voltage restorer fed voltage source, current source and Z-Source inverters [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Design and Analysis of Solar Photovoltaic fed Z-Source Inverter based Dynamic Voltage Restorer

2019

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Z-Source Inverter (ZSI) is a new topology in power converter especially in DC-AC converter at a very interesting power level. For an instance, it only uses a single-stage power converter with the ability of buckboost characteristic operations. This work introduces a combination of a solar system with dynamic voltage restorer based Z-source inverter for reducing the voltage swell and harmonics under sudden addition of a balanced three-phase nonlinear load. This article also focuses on perturb and observe (P&O) algorithm for automatically find the PV systems operating voltage that produces a maximum power output. The proposed dynamic voltage restorer fed Z-source inverter is designed and modeled by using MATLAB/SIMULINK. The got outcomes are contrasted with classical dynamic voltage restorer fed voltage and current source inverters.

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Voltage sag and swell detection and segmentation based on Independent Component Analysis

Cited by 42 publications

References 13 publications

An Adaptive Approach for Voltage Sag Automatic Segmentation

An Adaptive Approach for Voltage Sag Automatic Segmentation

Voltage variations identification using gabor transform and rule-based classification method

Design and Analysis of Solar Photovoltaic fed Z-Source Inverter based Dynamic Voltage Restorer

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