Parameter Determination for Modeling System Transients—Part III: Transformers IEEE PES Task Force on Data for Modeling System Transients of IEEE PES Working Group on Modeling and Analysis of System Transients Using Digital Simulation (General Systems Subcommittee)

Martínez, J.A.; Walling, R.; Mork, B.A.; Martin-Arnedo, J.; Durbak, D.

doi:10.1109/tpwrd.2005.848752

Cited by 60 publications

(17 citation statements)

References 23 publications

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“…This voltage sag is unbalanced due to the current unbalance produced by the high content of current harmonics. Observing the third plot of Figure 4, the high content of harmonics of the current waveform can be seen; these harmonics are a direct consequence of the transformer core saturation [64]. This voltage reduction during the voltage sag is due to the brief IM contribution towards the fault, which starts at t = 1.62 s, and in 2 cycles, the current starts to decrease.…”

Section: Voltage Sag Main Featuresmentioning

confidence: 87%

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Power Quality Disturbances Assessment during Unintentional Islanding Scenarios. A Contribution to Voltage Sag Studies

2019

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This paper presents a novel voltage sag topology that occurs during an unintentional islanding operation (IO) within a distribution network (DN) due to large induction motors (IMs). When a fault occurs, following the circuit breaker (CB) fault clearing, transiently, the IMs act as generators due to their remanent kinetic energy until the CB reclosing takes place. This paper primarily contributes to voltage sag characterization. Therefore, this novel topology is presented, analytically modelled and further validated. It is worth mentioning that this voltage sag has been identified in a real DN in which events have been recorded for two years. The model validation of the proposed voltage sag is done via digital simulations with a model of the real DN implemented in Matlab considering a wide range of scenarios. Both simulations and field measurements confirm the voltage sag analytical expression presented in this paper as well as exhibiting the high accuracy achieved in the three-phase model adopted.

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Section: Voltage Sag Main Featuresmentioning

confidence: 87%

Section: Voltage Sag Main Featuresmentioning

confidence: 92%

Power Quality Disturbances Assessment during Unintentional Islanding Scenarios. A Contribution to Voltage Sag Studies

2019

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“…where the generic coefficients depend on transformer power rating and configuration. In-depth research regarding transformer modelling for low and mid-frequencies can be found in [23][24][25]. In [26] a practical saturation estimation from recorded inrush currents waveform is proposed.…”

Section: Transformersmentioning

confidence: 99%

Assessment of Unintentional Islanding Operations in Distribution Networks with Large Induction Motors

et al. 2020

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This paper is aimed at assessing the impact of unintentional islanding operations (IOs) in the presence of large induction motors (IMs) within distribution networks (DNs). When a fault occurs, following the circuit breaker (CB) fault clearing, the IMs act transiently as generators, due to its inertia, until the CB reclosing takes place. The present work is the outcome of a project carried out in a small DN, where field measurements were recorded over two years. This paper provides a detailed description of the test system, a selected list of field measurements, and a discussion on modeling guidelines used to create the model of the actual power system. The main goal is to validate the system model by comparing field measurements with simulation results. The comparison of simulations and field measurements prove the appropriateness of the modeling guidelines used in this work and highlight the high accuracy achieved in the implemented three-phase Matlab/Simulink model.

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“…In general, a passingthrough fault current that has a value of 10 times the rated current may cause a differential current of 1-2 times the power transformer-rated current. Moreover, high passingthrough current may cause internal faults due to overheating of insulation [23].…”

Section: Types Of Currents In Power Transformermentioning

confidence: 99%

“…On the other hand, inrush current occurs because of an overexcited core with special case of saturation during the initial excitation. Finally, deep saturation current is similar to external fault current, and it occurs when a transformer is driven more into saturation [23].…”

Section: Types Of Currents In Power Transformermentioning

confidence: 99%

Identification of Power Transformer Currents by Using Random Forest and Boosting Techniques

Khatib

Arar

2020

Mathematical Problems in Engineering

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In this research, a differential protection technique for a power transformer is proposed by using random forest and boosting learning machines. The proposed learning machines aim to provide a protection expert system that distinguishes between different transformer status which are normal, inrush, overexcitation, CT saturation, or internal fault. Data for 20 different transformers with 5 operating cases are used in this research. The utilized random forest and boosting techniques are trained using these data. Meanwhile, the proposed models are validated by other measures such as out-of-bag error and confusion matrix. In addition, variable importance analysis that shows signal’s component importance inside a transformer at different instances is provided. According to the result, the proposed random forest model successfully identifies all of the current cases (100% accuracy for the conducted experiment). Meanwhile, it is found that it is less accurate as a conditional monitoring element with accuracy in the range of 97%–98%. On the other hand, the proposed boosting model identifies all of the currents for both cases (100% accuracy for the conducted experiment). In addition to that, a comparison is conducted between the proposed models and other AI-based models. Based on this comparison, the proposed boosting model is the simplest and the most accurate model as compared to other models.

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Parameter Determination for Modeling System Transients—Part III: Transformers IEEE PES Task Force on Data for Modeling System Transients of IEEE PES Working Group on Modeling and Analysis of System Transients Using Digital Simulation (General Systems Subcommittee)

Cited by 60 publications

References 23 publications

Power Quality Disturbances Assessment during Unintentional Islanding Scenarios. A Contribution to Voltage Sag Studies

Power Quality Disturbances Assessment during Unintentional Islanding Scenarios. A Contribution to Voltage Sag Studies

Assessment of Unintentional Islanding Operations in Distribution Networks with Large Induction Motors

Identification of Power Transformer Currents by Using Random Forest and Boosting Techniques

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