Ensuring efficient operation of electromechanical systems with frequency regulation with periodic voltage sags

Biały, Witold; Sovin, V. E.; Zatsepina, V. I.; Zatsepin, E. P.; Shachnev, O. Ya.

doi:10.1051/e3sconf/201912405059

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…Semiconductor elements that generate mostly «white noise» are poorly suited for the usual Fourier analysis. Its low accuracy may affect the failure of semiconductor voltage sensors that are used in systems of APM, smart home, smart city, lean manufacturing, and others [15][16][17][18]. Given that above things are being developed and placed everywhere, elimination of frequency noise and its diagnosis will be a priority in near future.…”

Section: Processing Of Results and Conclusionmentioning

confidence: 99%

Analysis of power quality in presence of frequency distortions

et al. 2020

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Today, semiconductor elements are becoming more popular in power supply networks. Their presence in any objects of electrical equipment provides high performance with high operating efficiency. However, modern research shows the semiconductor element base negatively affects quality of electricity when they are used in parallel. In lowand medium-voltage networks, this is fraught with the appearance of frequency «noise», which negatively affects parameters equipment with presence of latter, as well their control system. To detect them, a special approach is necessary, since such harmonics can appear both from directly semiconductor elements and from operating mode of equipment where element base is applied. The purpose of this article identifies higher harmonic distortions generated by objects containing semiconductor elements.

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Section: Processing Of Results and Conclusionmentioning

confidence: 99%

Analysis of power quality in presence of frequency distortions

et al. 2020

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“…Voltage dips are mainly caused by power line faults such as short circuits and large induction motors starting [3]. Voltage sags are the main cause of disturbances in variable speed drives, computers, and industrial process controllers [4], [5]. Research by Wagner et al [6], a case study on the monitoring of disturbances related to power quality revealed that 68% of recorded disturbances are voltage sags and that they represent the main cause of production shutdowns and losses.…”

Section: Introductionmentioning

confidence: 99%

A comprehensive overview of the ADALINE method applied to rapid voltage sags detection in multi-motors drive systems

2022

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Several strategies have been developed for identifying power quality issues, monitoring them, and compensating for relevant disturbances. In this field, online estimate of amplitudes and phase angles of network voltages and currents is commonly used. The adaptive linear neuron (ADALINE)-based voltage sag detection algorithm with least mean square (LMS) adaptation allows for rapid convergence of estimate techniques based on artificial neural networks (ANN). This approach has the advantage of being straightforward to implement on hardware and based on simple calculations (essentially multiply and accumulate "MAC"). This paper gives a comparison of the performance of two ADALINE approaches ("with" and "without" error supervision) for detecting and estimating voltage dips. The described techniques and models of a two-coupled motor system were implemented in MATLAB/Simulink/SimPowerSystems to run simulations under various fault scenarios in order to create the three-phase voltage sag alarm signal. The simulation outcomes are presented and debated.

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Ensuring efficient operation of electromechanical systems with frequency regulation with periodic voltage sags

Cited by 2 publications

References 7 publications

Analysis of power quality in presence of frequency distortions

Analysis of power quality in presence of frequency distortions

A comprehensive overview of the ADALINE method applied to rapid voltage sags detection in multi-motors drive systems

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