Topology-Correct Reversible Transformer Model

Zirka, S. E.; Moroz, Y.I.; Arturi, C.M.; Chiesa, Nicola; Høidalen, Hans Kristian

doi:10.1109/tpwrd.2012.2205275

Cited by 42 publications

(36 citation statements)

References 22 publications

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“…To use the method in Section III, inductances L 12 , L 23 , L p , as well as three air-core inductances L air from [8], are recalculated into corresponding reluctances. Then using (6) and (5) we find that R 1p = 1.888 10 6 1/H and R rest = 1.575 10 5 1/H. Now, it follows from (7) that R 01 = 4.605 10 6 1/H and thus L 01 is 127.42 mH or 0.095 pu.…”

Section: Parameters and Behavior Of The Reversible Modelmentioning

confidence: 89%

“…A suitable approach is to make the model reversible -that is, accurate in deep saturation, irrespective of which transformer winding is energized [5]. Reversible models for single-phase transformers were then also proposed in [6] and [7].…”

Section: Introdutionmentioning

confidence: 99%

“…Reversible models for single-phase transformers were then also proposed in [6] and [7]. In this paper, the method in [5] is extended to five-limb, three-winding transformer. The model is verified by comparing its predictions with results of the GICimmunity test [8] carried out on two five-limb 400 MVA transformers connected back-to-back and to the Fingrid power network.…”

Section: Introdutionmentioning

confidence: 99%

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Topological Reversible Model of Three-Phase Five-Limb Transformer

Zirka¹,

Moroz²,

Arturi

et al. 2018

E&E

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The paper continues the authors' studies devoted to transients in three-phase five-limb transformers. The main purpose of the work is to propose a method of evaluating model parameters, which cover transformer operations in saturation. This purpose is achieved by using the concept of the model reversibility. Methodology. The method of obtaining model parameters employs magnetic transformer model and is based on the idea of the model reversibility. The solution is found by equating input reluctances seen from the terminals of the innermost and outermost windings to the reluctances of the corresponding windings on air. Findings. The modeling of GIC events represented in the paper is the most accurate ever obtained for threephase, five-leg transformers. The model is validated by close agreement of the predicted values and waveforms of the phase currents and reactive power with those measured in tests performed on two 400 MVA transformers connected back-to-back and to a 400 kV power network. The validity of the model was verified at 75 and 200 A dc currents in the transformer neutral. It is shown that the model is a reliable tool in evaluating inrush currents. Originality. The originality and advantage of the method proposed is its ability to determine the model parameters without fitting to experimental data obtained in regimes with highly saturated core. The method ensures the reversibility of the three-winding transformer model that is its correct behavior regardless of which winding is energized. Practical value. The practical value and significance of the paper is caused by the fact that the model proposed is a simple and reliable tool for power system studies. As a practically important example, time domain response of transformer subjected to geomagnetically induced currents (GIC) is analyzed and compared with results of a comprehensive field experiment.

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Section: Parameters and Behavior Of The Reversible Modelmentioning

confidence: 89%

Section: Introdutionmentioning

confidence: 99%

Section: Introdutionmentioning

confidence: 99%

See 1 more Smart Citation

Topological Reversible Model of Three-Phase Five-Limb Transformer

Zirka¹,

Moroz²,

Arturi

et al. 2018

E&E

Self Cite

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“…The author of [18] built up a low-frequency transformer model based on the equivalent magnetic circuits. In [1], the author proposed a method for simulating magnetizing inrush currents in power transformers by taking the transformer operating conditions, including transformer loading power factors, switching-on angles, and remanent flux into consideration.…”

Section: Introductionmentioning

confidence: 99%

Automatic J–A Model Parameter Tuning Algorithm for High Accuracy Inrush Current Simulation

Wen

Jing-zhuo

2017

Energies

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Inrush current simulation plays an important role in many tasks of the power system, such as power transformer protection. However, the accuracy of the inrush current simulation can hardly be ensured. In this paper, a Jiles-Atherton (J-A) theory based model is proposed to simulate the inrush current of power transformers. The characteristics of the inrush current curve are analyzed and results show that the entire inrush current curve can be well featured by the crest value of the first two cycles. With comprehensive consideration of both of the features of the inrush current curve and the J-A parameters, an automatic J-A parameter estimation algorithm is proposed. The proposed algorithm can obtain more reasonable J-A parameters, which improve the accuracy of simulation. Experimental results have verified the efficiency of the proposed algorithm.

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“…Different models and different means of determining the parameters are required for each type of core. Several topology transformer models based on the principle of duality have been presented in the literature [12] - [16]. By default, the transformer model must have an accurate representation of all nonlinear inductances of the core, including hysteresis effects [17] - [19].…”

mentioning

confidence: 99%

Generation of Bifurcation Diagrams for Ferroresonance Characterization Using Parallel Computing

Corea‐Araujo¹,

Guerra²,

Martínez-Velasco³

et al. 2017

Balkan Journal of Electrical and Computer Engineering

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Ferroresonance is a complex phenomenon that involves the association of nonlinear magnetizing inductances and capacitances. This nonlinear phenomenon can be initiated in many different ways, which makes its characterization very difficult. Some recent works have shown how bifurcation diagrams can be advantageously used for predicting the phenomenon at its different stages and finding safety zones for parameter selection. The present work expands the scope of some tools originally developed for assessing ferroresonance behavior by means of 3D bifurcation diagrams. The main goal of this work is to propose the application of parallel computing to speed up the generation of bifurcation diagrams.

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Topology-Correct Reversible Transformer Model

Cited by 42 publications

References 22 publications

Topological Reversible Model of Three-Phase Five-Limb Transformer

Topological Reversible Model of Three-Phase Five-Limb Transformer

Automatic J–A Model Parameter Tuning Algorithm for High Accuracy Inrush Current Simulation

Generation of Bifurcation Diagrams for Ferroresonance Characterization Using Parallel Computing

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