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Statistical Methods of Mode Recognition in Relay Protection and Automation of Power Supply Networks

Sharygin, M. V. / Kulikov, A. L.

Microprocessor relay protection and automation (RPA) devices open up broad opportunities for realization of the most complex algorithms. Since traditional power system overcurrent RPAs have insufficient sensitivity and speed, this paper proposes new multi-hypothesis methods of recognizing modes of operation in RPA of power systems, based on statistical principles. An example is given of using the developed algorithms of relay protection (RP) with an assessment of their effectiveness.

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Statistical Methods of Mode Recognition in Relay Protection and Automation of Power Supply Networks

Sharygin, M. V. / Kulikov, A. L.

Microprocessor relay protection and automation (RPA) devices open up broad opportunities for realization of the most complex algorithms. Since traditional power system overcurrent RPAs have insufficient sensitivity and speed, this paper proposes new multi-hypothesis methods of recognizing modes of operation in RPA of power systems, based on statistical principles. An example is given of using the developed algorithms of relay protection (RP) with an assessment of their effectiveness.

Statistical Methods of Mode Recognition in Relay Protection and Automation of Power Supply Networks

Sharygin, M. V. / Kulikov, A. L.

Microprocessor relay protection and automation (RPA) devices open up broad opportunities for realization of the most complex algorithms. Since traditional power system overcurrent RPAs have insufficient sensitivity and speed, this paper proposes new multi-hypothesis methods of recognizing modes of operation in RPA of power systems, based on statistical principles. An example is given of using the developed algorithms of relay protection (RP) with an assessment of their effectiveness.

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Titel:

Statistical Methods of Mode Recognition in Relay Protection and Automation of Power Supply Networks

Beteiligte:

Sharygin, M. V. (Autor:in) / Kulikov, A. L. (Autor:in)

Erschienen in:

Power Technology and Engineering ; 52 ; 235-241

Erscheinungsdatum:

01.07.2018

Format / Umfang:

7 pages

ISSN:

1570-1468 , 1570-145X

DOI:

https://doi.org/10.1007/s10749-018-0938-9

Medientyp:

Aufsatz (Zeitschrift)

Format:

Elektronische Ressource

Sprache:

Englisch

Schlagwörter:

electric power supply , multi-parametric relay protection , statistics , likelihood ratio test , setting Engineering , Energy Technology , Power Electronics, Electrical Machines and Networks , Renewable and Green Energy , Geoengineering, Foundations, Hydraulics

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