Probabilistic analysis of switching transients due to vacuum circuit breaker operation on wind turbine step-up transformers

Journal Article (2020)
Author(s)

Sajjad Ghasemi (Shiraz University)

Mehdi Allahbakhshi (Shiraz University)

Behzad Behdani (Shiraz University)

Mohsen Tajdinian (Shiraz University)

M. Popov (TU Delft - Intelligent Electrical Power Grids)

Research Group
Intelligent Electrical Power Grids
Copyright
© 2020 Sajjad Ghasemi, Mehdi Allahbakhshi, B. Behdani, Mohsen Tajdinian, M. Popov
DOI related publication
https://doi.org/10.1016/j.epsr.2020.106204
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Publication Year
2020
Language
English
Copyright
© 2020 Sajjad Ghasemi, Mehdi Allahbakhshi, B. Behdani, Mohsen Tajdinian, M. Popov
Research Group
Intelligent Electrical Power Grids
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Volume number
182
Pages (from-to)
1-9
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Abstract

Vacuum circuit breaker operation causes transient overvoltages that may lead to severe damages to transformer insulation. Since the parameters affecting these overvoltages have stochastic nature, a statistical analysis may provide detailed insight into the overvoltages from the point of view of insulation coordination applications. In this paper, a statistical analysis of the overvoltage variations of the step-up transformer during vacuum circuit breaker operation is conducted. Some variables, including switching angle, current chopping, high-frequency current quenching capability, and wind turbine power, are assumed as random variables. Besides, some indicators representing the switching overvoltage characteristics such as the amplitude, the number of restrikes, and the rate of rise are extracted. By performing a probabilistic analysis, the destructiveness due to switching overvoltages on typical transformer insulation can be investigated. The sensitivity of different surge protective devices and their effectivities are also analyzed and statistically evaluated. The applied methodology is very useful because of the stochastic nature of the switching overvoltages. In this work, the impact of protective equipment on each of the overvoltage indicators is analyzed. It is also found that considering only the amplitudes of transient overvoltages is not enough to draw conclusions about the safety of the transformer when exposed to frequent switching surges.

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