| Issue |
E3S Web Conf.
Volume 186, 2020
2020 The 3rd International Conference on Electrical Engineering and Green Energy (CEEGE 2020)
|
|
|---|---|---|
| Article Number | 03001 | |
| Number of page(s) | 4 | |
| Section | Electronics and Electrical Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202018603001 | |
| Published online | 24 August 2020 | |
Increasing the Sensitivity of the Digital Relay Protection Against Turn-to-turn Short Circuits And Asymmetries In Wind Power Generators
Technical University Sofia, EPF-Sliven, 8800 Sliven, Bulgaria
* Corresponding author: misho.ivanov@abv.bg
The paper describes the implementation of neural networks for increasing the sensitivity of the digital relay protection against turn-to turn short circuits in the stator winding and asymmetric modes in wind power generators. Models have been developed for monitoring two standard and two emergency mode parameters, whose deviation from the set-points is an indication of occurrence of turn-to-turn short circuits and asymmetric modes, or of combinations of these types of failures. An artificial neural network, trained by error back-propagation algorithm has been used. An experiment has been conducted to define the four criteria for studying the problem at different percentage of the short-circuit turns. A comparison between the results from both the experiment and the modeling has been made using artificial neural networks. The proposed approach, realized by means of a digital relay, allows for increasing the sensitivity of the digital relay protection against turn-to-turn short circuits and asymmetric modes for wind power generators.
© The Authors, published by EDP Sciences, 2020
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