Analysis of IEC 61850-9-2LE Measured Values Using a Neural Network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F19%3APU132047" target="_blank" >RIV/00216305:26220/19:PU132047 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1996-1073/12/9/1618" target="_blank" >https://www.mdpi.com/1996-1073/12/9/1618</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/en12091618" target="_blank" >10.3390/en12091618</a>
Alternative languages
Result language
angličtina
Original language name
Analysis of IEC 61850-9-2LE Measured Values Using a Neural Network
Original language description
Process bus communication has an important role to digitalize substations. The IEC 61850-9-2 standard specifies the requirements to transmit digital data over Ethernet networks. The paper analyses the impact of IEC 61850-9-2LE on physical protections with (analog-digital) input data of voltage and current. With the increased interaction between physical devices and communication components, the test proposes a communication analysis for a substation with the conventional method (analog input) and digital method based on the IEC 61850 standard. The use of IEC 61850 as the basis for smart grids includes the use of merging units (MUs) and deployment of relays based on microprocessors. The paper analyses the merging unit’s functions for relays using IEC 61850-9-2LE. The proposed method defines the sampled measured values source and analysis of the traffic. By using neural net pattern recognition that solves the pattern recognition problem, a relation between the inputs (number of samples/ms—interval time between the packets) and the source of the data is found. The benefit of this approach is to reduce the time to test the merging unit by getting the feedback from the merging unit and using the neural network to get the data structure of the publisher IED. Tests examine the GOOSE message and performance using the IEC standard based on a network traffic perspective.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20704 - Energy and fuels
Result continuities
Project
<a href="/en/project/EF16_013%2F0001638" target="_blank" >EF16_013/0001638: CVVOZE Power Laboratories - modernization of research infrastructure</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ENERGIES
ISSN
1996-1073
e-ISSN
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Volume of the periodical
12
Issue of the periodical within the volume
9
Country of publishing house
CH - SWITZERLAND
Number of pages
20
Pages from-to
841-861
UT code for WoS article
000469761700034
EID of the result in the Scopus database
2-s2.0-85065967186