Validation of single-phase transformer model for ferroresonance analysis

Corea‐Araujo, Javier A.; Martínez-Velasco, Juan A.; González-Molina, F.; Barrado-Rodrigo, José A.; Guasch-Pesquer, Luis; Castro‐Aranda, Ferley

doi:10.1007/s00202-017-0594-3

Cited by 5 publications

(3 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Finally, it is important to emphasize the influence of the transformer model on the results and therefore the bifurcation diagrams obtained with the present methodology. Reference [30] shows that for single-phase transformers an accurate ferroresonance study can only be carried out when the saturable cores are represented by means of a hysteretic core. All case studies presented in this paper were carried out by using a nonhysteretic representation of transformer cores; therefore, results presented here should be used with care.…”

Section: Discussionmentioning

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

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionmentioning

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

Self Cite

View full text Add to dashboard Cite

show abstract

“…The number of registered students for the Over-voltage in Power System course was 63 students in the academic year 2018. They were the first to take a professional course on ferroresonance [9,11].…”

Section: Student Assessment and Evaluationmentioning

confidence: 99%

A MATLAB GUI teaching application for ferroresonance simulation

Tao

Gan

Fang

et al. 2021

Comp Applic In Engineering

View full text Add to dashboard Cite

Ferroresonance is a complex phenomenon and can compromise power system sustainability in transformer cores during the electromagnetic saturation process. Over-voltage can be induced in the inductive core of transformers in an oscillation imbalance circuit; thus causing short circuits or permanent damage to a transformer. Hence, this paper developed a teaching application that combined a graphical user interface (GUI) in MATLAB with a SIMULINK function to model a ferroresonance circuit, to undergraduate engineering students at a Chinese University, as a part of a high-voltage engineering course. Students can adjust the parameters in the model to test different types of resonance voltage waveforms to obtain the corresponding power frequencies directly in the GUI. Through the interactive GUI environment, the difficulties that undergraduate students experience in distance education can be eliminated. A questionnaire of the 63 students who took the course was administered to measure student perceptions of this project-based learning experience, and the responses are included in this paper.

show abstract

“…In various studies, the impacts of ferroresonance have been explored by analyzing the behavior of phase transformer models in nonlinear transient operations within a laboratory setting [22]. Another study used software simulation to analyze a ferroresonance event in a 0.4/22 kV distribution transformer powered by a photovoltaic source [23].…”

Section: Introductionmentioning

confidence: 99%

Diagnosis of Chaotic Ferroresonance Phenomena Using Deep Learning

et al. 2023

View full text Add to dashboard Cite

Ferroresonance is a non-linear and dangerous resonance phenomenon that can affect power networks and damage electrical equipment. The ferroresonance phenomenon is examined by dividing it into classes, with chaotic ferroresonance being the most dangerous type that causes overvoltage's. Detecting chaotic ferroresonance in a short period of time is of great importance in terms of taking measures and reducing equipment damage. In this study, we explored the application of deep convolutional neural networks (DCNNs) for the identification and classification of chaotic ferroresonance phenomena. Two pre-trained AlexNet models were adapted using transfer learning to perform these tasks. The first model was utilized to identify chaotic ferroresonance, while the second was employed to distinguish between different subtypes of chaotic ferroresonance by dividing voltage curve graphs into different periods and shapes. The training and testing of both DCNN models were conducted using snapshot images extracted from the voltage curves of all phase voltages. The results of the experiments showed high accuracy in both the identification and classification of chaotic ferroresonance phenomena.

show abstract

Validation of single-phase transformer model for ferroresonance analysis

Cited by 5 publications

References 24 publications

Generation of Bifurcation Diagrams for Ferroresonance Characterization Using Parallel Computing

Generation of Bifurcation Diagrams for Ferroresonance Characterization Using Parallel Computing

A MATLAB GUI teaching application for ferroresonance simulation

Diagnosis of Chaotic Ferroresonance Phenomena Using Deep Learning

Contact Info

Product

Resources

About