Cloud-based Assisted Decision Making Scheme for Electric Power Dispatch System

DOI

10.2991/ecae-17.2018.21How to use a DOI?

Keywords

cloud computing; data mining; decision making; electric power dispatch center; service-oriented architecture

Abstract

Cloud computing is one of the key enablers for modern electric power dispatch systems, in which many assisted decision making applications are involved. This work focuses on one important decision making scenario, i.e., providing suggested actions for alarming signals from electric component in both transmission and distribution network. Knowledge base is set up to find template to characterize the alarming signal patterns. A real-time template matching scheme is then established to find out the best candidate to aware current fault situation. The effectiveness of the proposed approach is verified using real-world electric component alarming data. The results indicate that the workload of operator is significantly reduced and the assisted decision accuracy is improved.

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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TY  - CONF
AU  - Bingquan Zhu
AU  - Zhongming Xiang
AU  - Qifeng Xu
AU  - Yajie Tang
AU  - Cuiyang Wang
AU  - Jian Tang
PY  - 2017/12
DA  - 2017/12
TI  - Cloud-based Assisted Decision Making Scheme for Electric Power Dispatch System
BT  - Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)
PB  - Atlantis Press
SP  - 96
EP  - 100
SN  - 2352-5401
UR  - https://doi.org/10.2991/ecae-17.2018.21
DO  - 10.2991/ecae-17.2018.21
ID  - Zhu2017/12
ER  -