RESEARCH METHODS FOR ENGINEERS 2
Qiang Wang, X. Y. (2018). A Novel Design Framework for Smart Operating Robot in Power
System. IEEE/CAA JOURNAL OF AUTOMATICA SINICA, 5, 532-537.
Introduction
This article was written by several authors including Qiang Wang, Xiaojing Yang, Zhigang Huang,
Shiqian Ma, Qiao Li, and David Wenzhong Gao. This article was published in March 2018 in Tianjin,
China and it was published through IEEE. The main purpose of this article is to illustrate how machine
learning can be employed in power system control. The paper suggests the use of machine training
where the SCADA system is employed to aid in controlling the whole system. The machine will help
in increasing the speed of operation, efficiency and reduces the errors of the human in the operation of
the power system. The process of training the machine involves a procedure of repairing a ticket,
translation, generation of operation tickets, checking the operation and do the simulation, operators
check the operation manually and then the desired tickets are produced.
Summary
The article suggests a framework and ideas for the usage of more intelligence system in managing the
Tianjin power system control center in China. The research question in this article is the can power
system be controlled by the machine. And the authors proved this by using intelligence referred to as
Artificial Intelligence (AI). Power systems use modern AI technology which can collect much
information and help control the whole system. Some of the objectives which could aid in realizing this
research could be to reduce the problems of manual operation of the power system, to train machine

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