Proceedings of the 4th Workshop on Advanced Research and Technology in Industry (WARTIA 2018)

Design of Power Integration and Line Loss Management System Based on Big Data

Authors
Junying Wu, Rui Xin, Huifeng Yang, Jianbin Zhao, Xin Lu, Jing Chen
Corresponding Author
Junying Wu
Available Online September 2018.
DOI
10.2991/wartia-18.2018.60How to use a DOI?
Keywords
line loss management, integrated acquisition, big data
Abstract

In view of the current line loss problem of transmission lines, combined with the current computer technology, an integrated power collection and line loss analysis system is proposed. The article first describes the relationship between the electricity collection and line loss system and other power systems, so as to better clarify the system data sources; on the basis of the above analysis, the functional modules of the system are analyzed, and the data comparison and analysis modules in the monitoring module are highlighted. Finally, the technical solutions and related functions implemented by the system are analyzed in detail, and the display interface is given.

Copyright
© 2018, 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 4th Workshop on Advanced Research and Technology in Industry (WARTIA 2018)
Series
Advances in Engineering Research
Publication Date
September 2018
ISBN
978-94-6252-597-9
ISSN
2352-5401
DOI
10.2991/wartia-18.2018.60How to use a DOI?
Copyright
© 2018, 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  - Junying Wu
AU  - Rui Xin
AU  - Huifeng Yang
AU  - Jianbin Zhao
AU  - Xin Lu
AU  - Jing Chen
PY  - 2018/09
DA  - 2018/09
TI  - Design of Power Integration and Line Loss Management System Based on Big Data
BT  - Proceedings of the 4th Workshop on Advanced Research and Technology in Industry (WARTIA 2018)
PB  - Atlantis Press
SP  - 331
EP  - 336
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-18.2018.60
DO  - 10.2991/wartia-18.2018.60
ID  - Wu2018/09
ER  -