Network and system management object modeling for smart grid infrastructure

Yoojin Kwon, Myung Sup Kim, Yong Hun Lim, Jong In Lim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Smart grid is an electricity network to monitor and control all its physical environments of electricity infrastructure in a fully automated way. As the importance of reliable energy utility infrastructure is growing, various security countermeasures to protect power system from security threats have been suggested, whereas there were less consideration on security by design, from the bottom system modeling level. Thus, this paper first highlights the international security standard on network and system management (NSM) requirements suggested from International Electronical Committee (IEC). Then this paper proposes significance of security by design, especially the security object modeling as the most important factor in smart grid environment. In our approach, we propose a common NSM objects for IEC-61850 protocol based substation automation environment. Finally, we present the setup procedures to implement and test NSM objects for IEC 61850-based digital substation in Korean environment.

Original languageEnglish
Title of host publication17th Asia-Pacific Network Operations and Management Symposium: Managing a Very Connected World, APNOMS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages588-591
Number of pages4
ISBN (Print)9784885522963
DOIs
Publication statusPublished - 2015 Sep 24
Event17th Asia-Pacific Network Operations and Management Symposium, APNOMS 2015 - Busan, Korea, Republic of
Duration: 2015 Aug 192015 Aug 21

Other

Other17th Asia-Pacific Network Operations and Management Symposium, APNOMS 2015
CountryKorea, Republic of
CityBusan
Period15/8/1915/8/21

Fingerprint

Electricity
Automation
Network management
Modeling
System management
Grid

Keywords

  • IEC 62351-7
  • Network and system management (NSM)
  • security management
  • security object modeling

ASJC Scopus subject areas

  • Information Systems and Management
  • Management Science and Operations Research
  • Computer Networks and Communications

Cite this

Kwon, Y., Kim, M. S., Lim, Y. H., & Lim, J. I. (2015). Network and system management object modeling for smart grid infrastructure. In 17th Asia-Pacific Network Operations and Management Symposium: Managing a Very Connected World, APNOMS 2015 (pp. 588-591). [7275400] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APNOMS.2015.7275400

Network and system management object modeling for smart grid infrastructure. / Kwon, Yoojin; Kim, Myung Sup; Lim, Yong Hun; Lim, Jong In.

17th Asia-Pacific Network Operations and Management Symposium: Managing a Very Connected World, APNOMS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 588-591 7275400.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kwon, Y, Kim, MS, Lim, YH & Lim, JI 2015, Network and system management object modeling for smart grid infrastructure. in 17th Asia-Pacific Network Operations and Management Symposium: Managing a Very Connected World, APNOMS 2015., 7275400, Institute of Electrical and Electronics Engineers Inc., pp. 588-591, 17th Asia-Pacific Network Operations and Management Symposium, APNOMS 2015, Busan, Korea, Republic of, 15/8/19. https://doi.org/10.1109/APNOMS.2015.7275400
Kwon Y, Kim MS, Lim YH, Lim JI. Network and system management object modeling for smart grid infrastructure. In 17th Asia-Pacific Network Operations and Management Symposium: Managing a Very Connected World, APNOMS 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 588-591. 7275400 https://doi.org/10.1109/APNOMS.2015.7275400
Kwon, Yoojin ; Kim, Myung Sup ; Lim, Yong Hun ; Lim, Jong In. / Network and system management object modeling for smart grid infrastructure. 17th Asia-Pacific Network Operations and Management Symposium: Managing a Very Connected World, APNOMS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 588-591
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