电力系统
领域(数学)
智能电源
计算机科学
控制工程
控制(管理)
功率(物理)
控制系统
人工神经网络
门票
人工智能
工程类
计算机安全
电气工程
物理
量子力学
纯数学
数学
作者
Qiang Wang,Yang Xiao-jing,Zhigang Huang,Shiqian Ma,Qiao Li,Wenzhong Gao,Fei‐Yue Wang
标识
DOI:10.1109/jas.2017.7510838
摘要
This paper proposes the concept and framework of smart operating system based on the artificial intelligence (AI) techniques. The demands and the potential applications of AI technologies in power system control centers is discussed in the beginning of the paper. The discussion is based on the results of a field study in the Tianjin Power System Control Center in China. According to the study, one problem in power systems is that the power system analysis system in the control center is not fast and powerful enough to help the operators in time to deal with the incidents in the power system. Another issue in current power system control center is that the operation tickets are compiled manually by the operators, so that it is less efficient and human errors cannot be avoided. Based on these problems, a framework of the smart operating robot is proposed in this paper, which includes an intelligent power system analysis system and a smart operation ticket compiling system to solve the two problems in power system control centers. The proposed framework is mainly based on the AI techniques, especially the neural network with deep learning, since it is faster and more capable of dealing with the highly nonlinear and complex power system.
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