Time-Synchronized Measurements and Applications for Monitoring of Intelligent Electric Power Systems

Gyul Lee, Seon Hyeog Kim, Yong June Shin

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

3 Citations (Scopus)

Abstract

For the future smart grid, time-synchronized measurements such as synchrophasor and advanced metering infrastructure (AMI) have been introduced into the existing power grid, which are featured by communication capabilities and higher measuring resolution contrary to the conventional measuring devices. These capabilities will enable us to monitor the grid in real-time manner for efficient and reliable operation of smart grid. In addition, these devices are considered as main sources to generate power system big data for intelligent smart energy services. This paper presents current status of time-synchronized measurements and their applications in big data. Moreover, applications and potentials in power system application are discussed when synchrophasor and AMI are time-synchronized across layers.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages751-755
Number of pages5
ISBN (Electronic)9781538636497
DOIs
Publication statusPublished - 2018 May 25
Event2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018 - Shanghai, China
Duration: 2018 Jan 152018 Jan 18

Publication series

NameProceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018

Other

Other2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018
CountryChina
CityShanghai
Period18/1/1518/1/18

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Ministry of Science, ICT & Future Planning #NRF-2017R1A2A1A05001022 and the framework of international cooperation program managed by NRF of Korea #NRF-2017K1A4A301357. This research was also supported by the Korea Electrotechnology Research Institute (KERI) primary research program through the National Research Council of Science & Technology (NST) funded by the ministry of Science, ICE and Future Planning (MSIP) #17-12-N0101-02.

Publisher Copyright:
© 2018 IEEE.

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management

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