Recreation of Voltage Fluctuation Using Basic Parameters Measured in the Power Grid

Kuwałek, Piotr; Jesko, Waldemar

doi:10.1007/s42835-020-00351-7

Cited by 15 publications

(5 citation statements)

References 21 publications

(40 reference statements)

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“…• trapezoidal signal (duration of the rising edge and falling edge equal to 1/4T m , where T m is the fundamental period of modulating signal) -this shape of voltage fluctuations can be caused by loads equipped with a soft starter system [35], [36];…”

Section: Adopted Model Of Power Quality Disturbancesmentioning

confidence: 99%

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IEC Flickermeter Measurement Results for Distorted Modulating Signal while Supplied with Distorted Voltage

Kuwałek

2022

Preprint

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The paper presents IEC flickermeter measurement results for voltage fluctuations modelled by amplitude modulation of distorted supply voltage. The supply voltage distortion caused by electronic and power electronic devices in the "clipped cosine" form is assumed. This type of supply voltage distortion is a common disturbance in low voltage networks. Several arbitrary distorted waveforms of the modulating signal with different modulation depth and modulating frequency up to approx. 1 kHz are selected to determine the dependence of severity of voltage fluctuation on their shape. The paper mainly presents the dependence of voltage fluctuation severity with a frequency greater than 3f f f c, where f f f c is the power frequency. The voltage fluctuation severity and the dependencies associated with it have been determined on the basis of numerical simulation studies and experimental laboratory tests.

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Section: Adopted Model Of Power Quality Disturbancesmentioning

confidence: 99%

“…• rectangular signal -associated with the influence of loads causing step voltage changes, which are probably the most common in the power grid nowadays [36]- [38].…”

Section: Adopted Model Of Power Quality Disturbancesmentioning

confidence: 99%

IEC Flickermeter Measurement Results for Distorted Modulating Signal while Supplied with Distorted Voltage

Kuwałek

2022

Preprint

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“…For a stiff power grid, the frequency change is usually not greater than ±50 mHz [40]. Hence, simplifying for such power grid, the voltage fluctuation can be identified with amplitude modulation AM [41][42][43][44]. Equation (1) shows that the voltage fluctuation depends on the distance l. For l = 0 m, the voltage amplitude is constant, so there is no voltage fluctuation.…”

Section: Z T |Z T |E Ob Obmentioning

confidence: 99%

Selective Identification and Localization of Voltage Fluctuation Sources in Power Grids

Kuwałek¹

2021

Energies

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The current study presents a novel approach to the selective identification and localization of voltage fluctuation sources in power grids, considering individual disturbing loads changing their state with a frequency of up to 150 Hz. The implementation of the proposed approach in the existing infrastructure of smart metering allows for the identification and localization of the individual sources of disturbances in real time. The proposed approach first performs the estimation of the modulation signal using a carrier signal estimator, which allows for a modulation signal with a frequency greater than the power frequency to be estimated. In the next step, the estimated modulating signal is decomposed into component signals associated with individual sources of voltage fluctuations using an enhanced empirical wavelet transform. In the last step, a statistical evaluation of the propagation of component signals with a comparable fundamental frequency is performed, which allows for the supply point of a particular disturbing load to be determined. The proposed approach is verified in numerical simulation studies using MATLAB/SIMULINK and in experimental studies carried out in a real low-voltage power grid. The research carried out shows that the proposed approach allows for the selective identification and localization of voltage fluctuation sources changing their state with a frequency of up to 150 Hz, unlike other methods currently used in practice.

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“…The adjustment technique minimizes the latency and improves the accuracy of the fluctuation detection process. A real-time phasor measurement technique is also used to perform the fluctuation detection process in electric power systems [5]. This measurement technique detects the chaotic swings that cause damage in the power transmission process.…”

Section: Introductionmentioning

confidence: 99%

Automatic Electrical System Fault Diagnosis Using a Fuzzy Inference System and Wavelet Transform

Zhang

2023

Processes

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Electrical systems consist of varied components that are used for power distribution, supply, and transfer. During transmission, component failures occur as a result of signal interruptions and peak utilization. Therefore, fault diagnosis should be performed to prevent fluctuations in the power distribution. This article proposes a fluctuation-reducing fault diagnosis method (FRFDM) for use in power distribution networks. The designed method employs fuzzy linear inferences to identify fluctuations in electrical signals that occur due to peak load demand and signal interruptions. The fuzzy process identifies the fluctuations in electrical signals that occur during distribution intervals. The linear relationship between two peak wavelets throughout the intervals are verified across successive distribution phases. In this paper, non-recurrent validation for these fluctuations is considered based on the limits found between the power drop and failure. This modification is used for preventing surge-based faults due to external signals. The inference process hinders the distribution of new devices and re-assigns them based on availability and the peak load experienced. Therefore, the device from which the inference outputs are taken is non-linear, and the frequently employed wavelet transforms are recommended for replacement or diagnosis. This method improves the fault detection process and ensures minimal distribution failures.

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Recreation of Voltage Fluctuation Using Basic Parameters Measured in the Power Grid

Cited by 15 publications

References 21 publications

IEC Flickermeter Measurement Results for Distorted Modulating Signal while Supplied with Distorted Voltage

IEC Flickermeter Measurement Results for Distorted Modulating Signal while Supplied with Distorted Voltage

Selective Identification and Localization of Voltage Fluctuation Sources in Power Grids

Automatic Electrical System Fault Diagnosis Using a Fuzzy Inference System and Wavelet Transform

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