Proceedings of the 3rd International Conference on Advances in Energy and Environmental Science 2015

Big Data Platform for Smart Substation Monitoring System

Authors
Qiqiang Sun, Fangchun Di, Lixin Li
Corresponding Author
Qiqiang Sun
Available Online July 2015.
DOI
10.2991/icaees-15.2015.7How to use a DOI?
Keywords
power, dispatching, distribution, big data, application, smart grid, architecture
Abstract

Due to new energy resources, including wind energy storage has been well into the grid, power dispatch and distribution of the operation process involves large-scale, multi type, highly complex data, which contains real-time data, planned data, early warning and monitoring data, environmental data. At present, the application of large data mainly focuses on the single analysis of structured and semi-structured data. And in-depth study of the analysis has not been concerned about the transformation of power grid data into knowledge, is the inevitable trend of the development of smart grid. In this paper, the data source, data characteristics and application trends are analyzed. According to the new requirements of the smart grid, the potential applications of large data technology are studied in the field of smart grid. Finally, to meeting requirement of the power dispatching & distribution data analysis, smart substation monitoring data system architecture was designed which is an integrated software/hardware, storage, computation, communication trinity. And it is proved that the system structure of smart substation monitoring data system has strong support, service and security.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd International Conference on Advances in Energy and Environmental Science 2015
Series
Advances in Engineering Research
Publication Date
July 2015
ISBN
978-94-6252-130-8
ISSN
2352-5401
DOI
10.2991/icaees-15.2015.7How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Qiqiang Sun
AU  - Fangchun Di
AU  - Lixin Li
PY  - 2015/07
DA  - 2015/07
TI  - Big Data Platform for Smart Substation Monitoring System
BT  - Proceedings of the 3rd International Conference on Advances in Energy and Environmental Science 2015
PB  - Atlantis Press
SP  - 34
EP  - 38
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaees-15.2015.7
DO  - 10.2991/icaees-15.2015.7
ID  - Sun2015/07
ER  -