Big data impact on stability and reliability improvement of smart grid

Shady S. Refaat; Amira Mohamed; Haitham Abu-Rub

doi:10.1109/BigData.2017.8258143

Big data impact on stability and reliability improvement of smart grid

Shady S. Refaat, Amira Mohamed, Haitham Abu-Rub

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

Abstract

Smart grids systems generate a large amount of data. Big Data which is an essential element for improving the reliability, stability, and efficiency, and in decreasing the cost of energy use. Reliable operation of smart grid depends on the utilization of various real-time information related to monitoring, communications, control and management systems. This paper gives a common understanding of how big data can impact the reliability and stability of power grid, and investigates in detail a smart grid communication network architecture. In addition, the paper explores and collates the smart energy subsystem, the smart information subsystem, and the smart communication subsystem. This conceptual lens provides deep insights into the reliability challenges and effective solutions toward reliability issues in smart grid to reveal the big data role during the transition, and how it can fuel the organic growth of smart grid.

Original language	English
Title of host publication	Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017
Editors	Jian-Yun Nie, Zoran Obradovic, Toyotaro Suzumura, Rumi Ghosh, Raghunath Nambiar, Chonggang Wang, Hui Zang, Ricardo Baeza-Yates, Ricardo Baeza-Yates, Xiaohua Hu, Jeremy Kepner, Alfredo Cuzzocrea, Jian Tang, Masashi Toyoda
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1975-1982
Number of pages	8
ISBN (Electronic)	9781538627143
DOIs	https://doi.org/10.1109/BigData.2017.8258143
Publication status	Published - 1 Jul 2017
Event	5th IEEE International Conference on Big Data, Big Data 2017 - Boston, United States Duration: 11 Dec 2017 → 14 Dec 2017

Publication series

Name	Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017
Volume	2018-January

Conference

Conference	5th IEEE International Conference on Big Data, Big Data 2017
Country/Territory	United States
City	Boston
Period	11/12/17 → 14/12/17

Keywords

Big Data
Big Data analytics
power system stability
Smart grid

Access to Document

10.1109/BigData.2017.8258143

Cite this

Refaat, S. S., Mohamed, A., & Abu-Rub, H. (2017). Big data impact on stability and reliability improvement of smart grid. In J.-Y. Nie, Z. Obradovic, T. Suzumura, R. Ghosh, R. Nambiar, C. Wang, H. Zang, R. Baeza-Yates, R. Baeza-Yates, X. Hu, J. Kepner, A. Cuzzocrea, J. Tang, & M. Toyoda (Eds.), Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017 (pp. 1975-1982). (Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/BigData.2017.8258143

Refaat, Shady S. ; Mohamed, Amira ; Abu-Rub, Haitham. / Big data impact on stability and reliability improvement of smart grid. Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017. editor / Jian-Yun Nie ; Zoran Obradovic ; Toyotaro Suzumura ; Rumi Ghosh ; Raghunath Nambiar ; Chonggang Wang ; Hui Zang ; Ricardo Baeza-Yates ; Ricardo Baeza-Yates ; Xiaohua Hu ; Jeremy Kepner ; Alfredo Cuzzocrea ; Jian Tang ; Masashi Toyoda. Institute of Electrical and Electronics Engineers (IEEE), 2017. pp. 1975-1982 (Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017).

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abstract = "Smart grids systems generate a large amount of data. Big Data which is an essential element for improving the reliability, stability, and efficiency, and in decreasing the cost of energy use. Reliable operation of smart grid depends on the utilization of various real-time information related to monitoring, communications, control and management systems. This paper gives a common understanding of how big data can impact the reliability and stability of power grid, and investigates in detail a smart grid communication network architecture. In addition, the paper explores and collates the smart energy subsystem, the smart information subsystem, and the smart communication subsystem. This conceptual lens provides deep insights into the reliability challenges and effective solutions toward reliability issues in smart grid to reveal the big data role during the transition, and how it can fuel the organic growth of smart grid.",

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author = "Refaat, {Shady S.} and Amira Mohamed and Haitham Abu-Rub",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 5th IEEE International Conference on Big Data, Big Data 2017 ; Conference date: 11-12-2017 Through 14-12-2017",

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doi = "10.1109/BigData.2017.8258143",

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editor = "Jian-Yun Nie and Zoran Obradovic and Toyotaro Suzumura and Rumi Ghosh and Raghunath Nambiar and Chonggang Wang and Hui Zang and Ricardo Baeza-Yates and Ricardo Baeza-Yates and Xiaohua Hu and Jeremy Kepner and Alfredo Cuzzocrea and Jian Tang and Masashi Toyoda",

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Refaat, SS, Mohamed, A & Abu-Rub, H 2017, Big data impact on stability and reliability improvement of smart grid. in J-Y Nie, Z Obradovic, T Suzumura, R Ghosh, R Nambiar, C Wang, H Zang, R Baeza-Yates, R Baeza-Yates, X Hu, J Kepner, A Cuzzocrea, J Tang & M Toyoda (eds), Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017. Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers (IEEE), pp. 1975-1982, 5th IEEE International Conference on Big Data, Big Data 2017, Boston, United States, 11/12/17. https://doi.org/10.1109/BigData.2017.8258143

Big data impact on stability and reliability improvement of smart grid. / Refaat, Shady S.; Mohamed, Amira; Abu-Rub, Haitham.
Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017. ed. / Jian-Yun Nie; Zoran Obradovic; Toyotaro Suzumura; Rumi Ghosh; Raghunath Nambiar; Chonggang Wang; Hui Zang; Ricardo Baeza-Yates; Ricardo Baeza-Yates; Xiaohua Hu; Jeremy Kepner; Alfredo Cuzzocrea; Jian Tang; Masashi Toyoda. Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 1975-1982 (Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017; Vol. 2018-January).

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

TY - GEN

T1 - Big data impact on stability and reliability improvement of smart grid

AU - Refaat, Shady S.

AU - Mohamed, Amira

AU - Abu-Rub, Haitham

PY - 2017/7/1

Y1 - 2017/7/1

N2 - Smart grids systems generate a large amount of data. Big Data which is an essential element for improving the reliability, stability, and efficiency, and in decreasing the cost of energy use. Reliable operation of smart grid depends on the utilization of various real-time information related to monitoring, communications, control and management systems. This paper gives a common understanding of how big data can impact the reliability and stability of power grid, and investigates in detail a smart grid communication network architecture. In addition, the paper explores and collates the smart energy subsystem, the smart information subsystem, and the smart communication subsystem. This conceptual lens provides deep insights into the reliability challenges and effective solutions toward reliability issues in smart grid to reveal the big data role during the transition, and how it can fuel the organic growth of smart grid.

AB - Smart grids systems generate a large amount of data. Big Data which is an essential element for improving the reliability, stability, and efficiency, and in decreasing the cost of energy use. Reliable operation of smart grid depends on the utilization of various real-time information related to monitoring, communications, control and management systems. This paper gives a common understanding of how big data can impact the reliability and stability of power grid, and investigates in detail a smart grid communication network architecture. In addition, the paper explores and collates the smart energy subsystem, the smart information subsystem, and the smart communication subsystem. This conceptual lens provides deep insights into the reliability challenges and effective solutions toward reliability issues in smart grid to reveal the big data role during the transition, and how it can fuel the organic growth of smart grid.

KW - Big Data

KW - Big Data analytics

KW - power system stability

KW - Smart grid

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M3 - Conference contribution

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T3 - Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017

SP - 1975

EP - 1982

BT - Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017

A2 - Nie, Jian-Yun

A2 - Obradovic, Zoran

A2 - Suzumura, Toyotaro

A2 - Ghosh, Rumi

A2 - Nambiar, Raghunath

A2 - Wang, Chonggang

A2 - Zang, Hui

A2 - Baeza-Yates, Ricardo

A2 - Hu, Xiaohua

A2 - Kepner, Jeremy

A2 - Cuzzocrea, Alfredo

A2 - Tang, Jian

A2 - Toyoda, Masashi

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 5th IEEE International Conference on Big Data, Big Data 2017

Y2 - 11 December 2017 through 14 December 2017

ER -

Refaat SS, Mohamed A, Abu-Rub H. Big data impact on stability and reliability improvement of smart grid. In Nie JY, Obradovic Z, Suzumura T, Ghosh R, Nambiar R, Wang C, Zang H, Baeza-Yates R, Baeza-Yates R, Hu X, Kepner J, Cuzzocrea A, Tang J, Toyoda M, editors, Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017. Institute of Electrical and Electronics Engineers (IEEE). 2017. p. 1975-1982. (Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017). doi: 10.1109/BigData.2017.8258143

Big data impact on stability and reliability improvement of smart grid

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Keywords

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