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Data-Centric Communication Framework for Multicast IEC 61850 Routable GOOSE Messages over the WAN in Modern Power Systems

Journal Article · · Applied Sciences
DOI:https://doi.org/10.3390/app10030848· OSTI ID:1801316
 [1];  [2];  [3]
  1. Univ. of West Florida, Pensacola, FL (United States). Dept. of Electrical and Computer Engineering; OSTI
  2. Florida International Univ., Miami, FL (United States). Energy Systems Research Lab., Department of Electrical and Computer Engineering
  3. Florida International Univ., Miami, FL (United States). Energy Systems Research Lab., Department of Electrical and Computer Engineering

In this paper, a data-centric communication framework is proposed for multicast routable generic object-oriented substation event (GOOSE) messages (MRGM) over the wide area network (WAN) for effective substation-to-substation (SS2SS) and substation to control center (SS2CC) communications. In this structure, the IEC 61850 GOOSE message is transmitted over the WAN using the data distribution service (DDS) as a fast, reliable, and secure data-centric communication middleware. The main feature of this framework is its multicast capability, where several authorized subscribers can receive a published message simultaneously. This can significantly improve the system monitoring and control of the protection systems in modern smart grids, where intelligent schemes can be applied. The effectiveness of the proposed platform, in terms of total end-to-end delay between participants, is evaluated through experimental results obtained from the actual hardware-based test setup developed at the Florida International University (FIU) smart grid testbed. The results demonstrate that the latency between sending and receiving a GOOSE message among participants is within its maximum time span defined by the IEC 61850-90-5 working group for communications over the WAN.

Research Organization:
Univ. of Arkansas, Fayetteville, AR (United States)
Sponsoring Organization:
USDOE Office of Electricity Delivery and Energy Reliability (OE)
Grant/Contract Number:
OE0000779
OSTI ID:
1801316
Journal Information:
Applied Sciences, Journal Name: Applied Sciences Journal Issue: 3 Vol. 10; ISSN ASPCC7; ISSN 2076-3417
Publisher:
MDPICopyright Statement
Country of Publication:
United States
Language:
English

References (6)

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R-GOOSE: what it is and its application in distribution automation journal October 2017
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Middleware Architectures for the Smart Grid: Survey and Challenges in the Foreseeable Future journal July 2013
Data Distribution Service-Based Interoperability Framework for Smart Grid Testbed Infrastructure journal March 2016