Experimental Determination of Parameters of Nonlinear Electrical Load

Skamyin, Aleksandr; Shklyarskiy, Yaroslav; Dobush, V. S.; Dobush, Iuliia

doi:10.3390/en14227762

Cited by 10 publications

(4 citation statements)

References 40 publications

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“…In this case, the magnitude values of current sources for different frequencies are set by simplified expressions, where the harmonic current magnitude at the fundamental frequency is divided by the harmonic order. The obtained magnitude values differ significantly from the real measured data [41][42][43]. In this case, the parameters of the energy system and equipment loading are not taken into account.…”

Section: Introductionmentioning

confidence: 75%

“…To determine the harmonic current magnitude of the nonlinear load, a shunt filter, being virtually a short circuit at a tuned harmonic frequency, is connected to the consumer's buses. In [41], based on experimental studies, it is shown that for a thyristor controlled rectifier, a thyristor power regulator, and a diode uncontrolled rectifier, the relative value of the generated harmonic current to the current at the fundamental frequency remains almost constant before and after connecting the passive filter. It means that the ratio of the current harmonic to the current at the fundamental frequency changes with a small error.…”

Section: Elements Of the Scheme Parameters And Valuesmentioning

confidence: 99%

“…In [41], based on experimental studies of a different types of nonlinear load, it is shown that the parameters of nonlinear load can be determined by connecting a passive harmonic filter to the grid. In this case, the nonlinear load current at harmonic frequency is distributed between the branches of the supply feeder and the passive filter.…”

Section: Introductionmentioning

confidence: 99%

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Computation of Nonlinear Load Harmonic Currents in the Presence of External Distortions

et al. 2022

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This paper deals with the issues of computation of the nonlinear load harmonic currents in the presence of external distortions based on the real measurements with help of passive harmonic. Such values are necessary when modeling an equivalent nonlinear load as current sources in the presence of external distortions. The passive filter allows to separate external and internal distortions, which is necessary when determining the harmonic currents of a single consumer. The influence of various parameters on the computation of harmonic currents of a nonlinear load, such as the parameters of a passive harmonic filter, the impedance of the power supply transformer, the load parameters of the consumer, taking into account the harmonic generation from the grid side, and from the consumer side, is considered. It is shown that an external source of distortion has practically no effect on the error in estimating the harmonic current magnitudes of a nonlinear load. The obtained simulation results were confirmed experimentally on a laboratory test bench. Recommendations for the selection of passive harmonic filter parameters have been developed to minimize the error in determining the harmonic current magnitudes of a nonlinear load.

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Section: Introductionmentioning

confidence: 75%

Section: Elements Of the Scheme Parameters And Valuesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Computation of Nonlinear Load Harmonic Currents in the Presence of External Distortions

et al. 2022

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“…In 2022, wind and solar power generated 22% of the EU's electricity, overtaking gas for the first time [2]. Additionally, in modern industrial power supply systems, there has been a significant increase in the installed capacity of nonlinear electric sources [3], and total capacity in Europe, only in photovoltaics, has increased by 25% from 167.5 GW in 2021 to 208.9 GW 2022 [4]. However, as these sources are integrated into existing electrical grids, complex challenges for power quality appear [5].…”

Section: Introductionmentioning

confidence: 99%

Improved Methodology for Power Transformer Loss Evaluation: Algorithm Refinement and Resonance Risk Analysis

Plienis,

Deveikis,

Jonaitis

et al. 2023

Energies

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The decline in power quality within electrical networks is adversely impacting the energy efficiency and safety of transmission elements. The growing prevalence of power electronics has elevated harmonic levels in the grid to an extent where their significance cannot be overlooked. Additionally, the increasing integration of renewable energy sources introduces heightened fluctuations, rendering the prediction and simulation of working modes more challenging. This paper presents an improved algorithm for calculating power transformer losses attributed to harmonics, with a comprehensive validation against simulation results obtained from the Power Factory application and real-world measurements. The advantages of the algorithm are that all evaluations are performed in real-time based on single-point measurements, and the algorithm was easy to implement in a Programmable Logic Controller (PLC). This allows us to receive the exchange of information to energy monitoring systems (EMSs) or with Power factor Correction Units (PFCUs) and control it. To facilitate a more intuitive understanding and visualization of potential hazardous scenarios related to resonance, an extra Dijkstra algorithm was implemented. This augmentation enables the identification of conditions, wherein certain branches exhibit lower resistance than the grid connection point, indicating a heightened risk of resonance and the presence of highly distorted currents. Recognizing that monitoring alone does not inherently contribute to increased energy efficiency, the algorithm was further expanded to assess transformer losses across a spectrum of Power Factory Correction Units power levels. Additionally, a command from a PLC to a PFCU can now be initiated to change the capacitance level and near-resonance working mode. These advancements collectively contribute to a more robust and versatile methodology for evaluating power transformer losses, offering enhanced accuracy and the ability to visualize potentially critical resonance scenarios.

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