LAPSE:2023.27023
Published Article
LAPSE:2023.27023
Effective Simulation Approach for Lightning Impulse Voltage Tests of Reactor and Transformer Windings
Piyapon Tuethong, Peerawut Yutthagowith, Anantawat Kunakorn
April 3, 2023
In this paper, an effective simulation method for lightning impulse voltage tests of reactor and transformer windings is presented. The method is started from the determination of the realized equivalent circuit of the considered winding in the wide frequency range from 10 Hz to 10 MHz. From the determined equivalent circuit and with the use of the circuit simulator, the circuit parameters in the impulse generator circuit are adjusted to obtain the waveform parameters according to the standard requirement. The realized equivalent circuits of windings for impulse voltage tests have been identified. The identification approach starts from equivalent circuit determination based on a vector fitting algorithm. However, the vector fitting algorithm with the equivalent circuit extraction is not guaranteed to obtain the realized equivalent circuit. From the equivalent circuit, it is possible that there are some negative parameters of resistance, inductance, and capacitance. Using such circuit parameters from the vector fitting approach as the beginning circuit parameters, a genetic algorithm is employed for searching equivalent circuit parameters with the constraints of positive values. The realized equivalent circuits of the windings can be determined. The validity of the combined algorithm is confirmed by comparison of the simulated results by the determined circuit model and the experimental results, and good agreement is observed. The proposed approach is very useful in lightning impulse tests on the reactor and transformer windings.
Keywords
Genetic Algorithm, lightning impulse voltage test, reactor and transformer windings, vector fitting
Suggested Citation
Tuethong P, Yutthagowith P, Kunakorn A. Effective Simulation Approach for Lightning Impulse Voltage Tests of Reactor and Transformer Windings. (2023). LAPSE:2023.27023
Author Affiliations
Tuethong P: Faculty of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand
Yutthagowith P: Faculty of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand
Kunakorn A: Faculty of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand
Journal Name
Energies
Volume
13
Issue
20
Article Number
E5399
Year
2020
Publication Date
2020-10-16
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en13205399, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.27023
This Record
External Link

doi:10.3390/en13205399
Publisher Version
Download
Files
[Download 1v1.pdf] (8.7 MB)
Apr 3, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
82
Version History
[v1] (Original Submission)
Apr 3, 2023
 
Verified by curator on
Apr 3, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.27023
 
Original Submitter
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version