Detail publikace

Analysis of IEC 61850-9-2LE Measured Values Using a Neural Network

WANNOUS, K. TOMAN, P. JURÁK, V. WASSERBAUER, V.

Originální název

Analysis of IEC 61850-9-2LE Measured Values Using a Neural Network

Anglický název

Analysis of IEC 61850-9-2LE Measured Values Using a Neural Network

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Plný text v Digitální knihovně

Dokumenty

BibTex


@article{BUT156831,
  author="Kinan Hasan Wafaa {Wannous} and Petr {Toman} and Viktor {Jurák} and Vojtěch {Wasserbauer}",
  title="Analysis of IEC 61850-9-2LE Measured Values Using a Neural Network",
  annote="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.",
  address="MDPI",
  chapter="156831",
  doi="10.3390/en12091618",
  howpublished="online",
  institution="MDPI",
  number="9",
  volume="12",
  year="2019",
  month="april",
  pages="841--861",
  publisher="MDPI",
  type="journal article in Web of Science"
}