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

Gyul Lee; Seon Hyeog Kim; Yong June Shin

doi:10.1109/BigComp.2018.00143

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

Gyul Lee, Seon Hyeog Kim, Yong June Shin

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

11 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 language	English
Title of host publication	Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	751-755
Number of pages	5
ISBN (Electronic)	9781538636497
DOIs	https://doi.org/10.1109/BigComp.2018.00143
Publication status	Published - 2018 May 25
Event	2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018 - Shanghai, China Duration: 2018 Jan 15 → 2018 Jan 18

Publication series

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

Other

Other	2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018
Country/Territory	China
City	Shanghai
Period	18/1/15 → 18/1/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

All Science Journal Classification (ASJC) codes

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/BigComp.2018.00143

Cite this

Lee, G., Kim, S. H., & Shin, Y. J. (2018). Time-Synchronized Measurements and Applications for Monitoring of Intelligent Electric Power Systems. In Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018 (pp. 751-755). Article 8367223 (Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigComp.2018.00143

Lee, Gyul ; Kim, Seon Hyeog ; Shin, Yong June. / Time-Synchronized Measurements and Applications for Monitoring of Intelligent Electric Power Systems. Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 751-755 (Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018).

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title = "Time-Synchronized Measurements and Applications for Monitoring of Intelligent Electric Power Systems",

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.",

keywords = "AMI, Power system big data, Synchrophasor, Time-Synchronization, μ- synchrophasor",

author = "Gyul Lee and Kim, {Seon Hyeog} and Shin, {Yong June}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018 ; Conference date: 15-01-2018 Through 18-01-2018",

year = "2018",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Lee, G, Kim, SH & Shin, YJ 2018, Time-Synchronized Measurements and Applications for Monitoring of Intelligent Electric Power Systems. in Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018., 8367223, Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018, Institute of Electrical and Electronics Engineers Inc., pp. 751-755, 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018, Shanghai, China, 18/1/15. https://doi.org/10.1109/BigComp.2018.00143

Time-Synchronized Measurements and Applications for Monitoring of Intelligent Electric Power Systems. / Lee, Gyul; Kim, Seon Hyeog; Shin, Yong June.
Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 751-755 8367223 (Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Time-Synchronized Measurements and Applications for Monitoring of Intelligent Electric Power Systems

AU - Lee, Gyul

AU - Kim, Seon Hyeog

AU - Shin, Yong June

PY - 2018/5/25

Y1 - 2018/5/25

N2 - 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.

AB - 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.

KW - AMI

KW - Power system big data

KW - Synchrophasor

KW - Time-Synchronization

KW - μ- synchrophasor

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Lee G, Kim SH, Shin YJ. Time-Synchronized Measurements and Applications for Monitoring of Intelligent Electric Power Systems. In Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 751-755. 8367223. (Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018). doi: 10.1109/BigComp.2018.00143

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

Abstract

Publication series

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Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

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