Increasing the Sensitivity of the Digital Relay Protection Against Turn-to-turn Short Circuits And Asymmetries In Wind Power Generators

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 m...

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Bibliographic Details
Published in:E3S web of conferences 2020-01, Vol.186, p.3001
Main Authors: Nedelchev, Nedelcho, Matsankov, Misho
Format: Article
Language:English
Subjects:
Algorithms
Artificial neural networks
Asymmetry
Back propagation networks
Circuit protection
Circuits
Generators
Neural networks
Relay
Renewable energy
Sensitivity
Short circuits
Wind power
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Summary: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.
ISSN:2267-1242
2555-0403
2267-1242
DOI:10.1051/e3sconf/202018603001