Research and Application of Smart Operation Supporting System Based on Centralized Operation and Maintenance

DOI

10.2991/icitmi-15.2015.19How to use a DOI?

Keywords

Smart Grid; Dispatching automation system; Centralized operation and maintenance; Data mining

Abstract

The development and application of the SG-OSS (the Smart Grid Operation Supporting System) puts forward higher requirements towards the system operation and maintenance, and the operation model of SG-OSS has changed from traditional decentralized operation and maintenance mode to the centralized operation and maintenance mode. Focusing on the problem of urgent needs to improve the data mining analysis capability for the SG-OSS centralized operation and maintenance mode, this paper will conduct the study in the modeling and application of data mining technology in the SG-OSS centralized operation and maintenance mode, establish the data mining analysis model that is suitable for the centralized operation and maintenance mode, determine the function structure and scope of data mining, and apply this in plenty aspects in SG-OSS like comprehensive analysis of power grid faults, power grid trend warning, SG-OSS operation status and so on. Data mining technology in centralized operation and maintenance has achieved remarkable effects in the real application, which effectively enhance the reliability and satiability of SG-OSS and have strong practical value.

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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TY  - CONF
AU  - Yang Bai
AU  - Yan-Sheng Lang
AU  - Yin Zhang
AU  - Ying Xing
AU  - Qiang Li
AU  - Cheng-Zhi Zhu
AU  - Cheng-Long Dou
AU  - Feng Han
PY  - 2015/10
DA  - 2015/10
TI  - Research and Application of Smart Operation Supporting System Based on Centralized Operation and Maintenance
BT  - Proceedings of the 4th International Conference on Information Technology and Management Innovation
PB  - Atlantis Press
SP  - 101
EP  - 106
SN  - 2352-538X
UR  - https://doi.org/10.2991/icitmi-15.2015.19
DO  - 10.2991/icitmi-15.2015.19
ID  - Bai2015/10
ER  -