Application of Pixel-Oriented Visualization Technique in the Centralized Monitoring of Smart Grid Dispatching and Control System

DOI

10.2991/icitmi-15.2015.37How to use a DOI?

Keywords

smart grid; dispatching and control system; centralized maintenance; centralized monitoring; pixel-oriented visualization; big data visualization

Abstract

With the rapid development of smart grid dispatching and control system in State Grid Corporation of China (SGCC), the complexity of system operation and maintenance increases sharply. In order to improve the maintenance efficiency, SGCC put forward the remote centralized maintenance mode. The centralized monitoring is the essential business of centralized maintenance, it collect the vast amounts of information from nationwide smart grid dispatching and control systems, and provides monitoring pictures for the users who need understand the global running state of the systems. How visualizing the huge information in the limit screens is a problems to be solved. This paper introduces the application of pixel-oriented visualization techniques in the centralized monitoring, takes the nationwide state estimation rate monitoring for an example, and compare with original techniques. Through the research and application, we find that using pixel-oriented visualization techniques could make centralized monitoring more effective.

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  - Yin Zhang
AU  - Yansheng Lang
AU  - Yang Bai
AU  - Ying Xing
AU  - Qiang Li
AU  - Jie Xu
AU  - Sen Li
AU  - Qingshan Zhu
PY  - 2015/10
DA  - 2015/10
TI  - Application of Pixel-Oriented Visualization Technique in the Centralized Monitoring of Smart Grid Dispatching and Control System
BT  - Proceedings of the 4th International Conference on Information Technology and Management Innovation
PB  - Atlantis Press
SP  - 209
EP  - 216
SN  - 2352-538X
UR  - https://doi.org/10.2991/icitmi-15.2015.37
DO  - 10.2991/icitmi-15.2015.37
ID  - Zhang2015/10
ER  -