Review on Application of New Generation Artificial Intelligence Technology in Power System Dispatching and Operation

被引：0
|
作者：
Zhao J. [1 ]
Xia X. [1 ]
Xu C. [2 ]
Hu W. [2 ]
Shang X. [3 ]
机构：
[1] College of Energy and Electrical Engineering, Hohai University, Nanjing
[2] State Grid Jiangsu Electric Power Co., Ltd., Nanjing
[3] Beijing Kedong Electric Power Control System Co., Ltd., Beijing
来源：
Zhao, Jinquan (zhaojinquan@hhu.edu.cn) | 1600年 / Automation of Electric Power Systems Press卷 / 44期
基金：
国家重点研发计划;
关键词：
Artificial intelligence; Deep learning; Dispatching and operation; Power system; Reinforcement learning; Scenario adaptation;
D O I：
10.7500/AEPS20200720009
中图分类号：
学科分类号：
摘要：
The new generation of artificial intelligence technology and its application represented by deep learning and reinforcement learning are the research hotspots in the field of power systems. Artificial intelligence technology has the advantages of independence of physical mechanism, high calculation speed and high discrimination efficiency. However, the inherent disadvantages of artificial intelligence, such as poor interpretability and weak stability, restrict its application in some scenarios of power systems. In this paper, the application of new generation artificial intelligence technology in power system load and renewable energy forecasting, fault diagnosis, on-line stability assessment, frequency and voltage optimal control and power grid operation mode formulation are summarized and analyzed. This paper summarizes the existing research problems and points out that the application of artificial intelligence technology should be problem-oriented, scenario-based and application-targeted. Finally, the future application of artificial intelligence technology in dispatching and operation of power system is prospected. © 2020 Automation of Electric Power Systems Press.
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页码：1 / 10
页数：9
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