Research on architecture of intelligent power grid control centre
Taotao Ma, Shaohua Zhu, Xiaoming Zheng, Chuangxin Guo, Weizhong Qian, Jian Guo Yang · 2009
As the power grid grows larger; the tradition way which relies on human's judgment to control over power grid becomes useless especially when the grid is in emergency. This paper brings in a new architecture which makes the control center smarter. This architecture uses real time data from EMS and WAMS to describe the current state of power grid. Upon the current state, different intelligent engines will be triggered. The triggered intelligent engine will tell the operator which is happening, how it happened, and how to do with it. The intelligent engines will be produced by both online modern and off line machine learning. And they form a growing knowledge warehouse makes control centre clever. The control centre becomes smart is an important part of smart grid.