Analysis of Key Technologies for Artificial Intelligence Applied to Power Grid Dispatch and Control

被引：0
|
作者：
Shan X. [1 ,2 ,3 ]
Lu X. [4 ]
Zhai M. [1 ,2 ,3 ]
Gao Z. [1 ,2 ,3 ]
Xu C. [4 ]
Teng X. [1 ,2 ,3 ]
Wang B. [1 ,2 ]
机构：
[1] NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing
[2] NARI Technology Co. Ltd., Nanjing
[3] State Key Laboratory of Smart Grid Protection and Control, Nanjing
[4] State Grid Jiangsu Electric Power Co. Ltd., Nanjing
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2019年 / 43卷 / 01期
关键词：
Deep learning; Dispatch assistant; Fault disposal; Knowledge graph; Machine learning; Regulation big data; Situational awareness;
D O I：
10.7500/AEPS20180629002
中图分类号：
学科分类号：
摘要：
The rapid development of a new generation of artificial intelligence technology represented by deep learning, as a strategic technology that leads a new round of scientific and technological revolution and industrial transformation, has risen to a national strategy and has attracted the attention of all walks of life. As the "decision brain" of power system, regulation and operation of power grid is a comprehensive decision-making control combining a large amount of data, mechanism analysis, operation procedures and professional experience, which is very similar to the development of a new generation of artificial intelligence characterized by data-driven and knowledge-based guidance. Based on the analysis of the characteristics of the new generation of artificial intelligence technology, the business situation and requirements of the power grid regulation operation, the design idea, the overall architecture and main functions of the future artificial intelligence based dispatch control system are proposed. And the key technologies and potential application scenarios are analyzed from the aspects of high performance computing, regulation big data, power system prediction and identification based on deep learning, intelligent assistant decision based on knowledge graph and dispatch assistant based on voice interaction. Finally, the development and future of artificial intelligence in power grid regulation are summarized and forecasted. © 2019 Automation of Electric Power Systems Press.
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页码：49 / 57
页数：8
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