Human-in-the-loop Hybrid-augmented Intelligence Method for Power System Dispatching: Basic Concept and Research Framework

被引：0
|
作者：
Qiao J. [1 ]
Guo J. [1 ]
Fan S. [1 ]
Huang Y. [1 ]
Shang Y. [1 ]
机构：
[1] China Electric Power Research Institute, Haidian District, Beijing
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2023年 / 43卷 / 01期
关键词：
human-in-the-loop; human-machine cooperation; hybrid-augmented intelligence; machine learning; power system dispatching;
D O I：
10.13334/j.0258-8013.pcsee.220128
中图分类号：
学科分类号：
摘要：
Power system is a typical complex system, which has the characteristics of openness, uncertainty, fragility and multi-factors highly coupling. With the construction of the new-type power system, the scale and complexity of the system is being elevated as never before. The traditional dispatching approaches for the safe and stable operation of the power system will face severe challenges under the new situation. The artificial intelligence is needed to improve the efficiency and performance of the analysis and decisions. In order to reduce the application risk and promote the capability evolution of artificial intelligence, this paper proposes the basic concept and research framework of the human-in-the-loop hybrid-augmented-intelligence method for power system dispatching. The principles and overall research strategy are discussed. Furthermore, the human-AI task assignment, interpretable interaction, human-intervention learning, multi-human-agent cooperation and evolution of hybrid-augmented intelligence approaches are discussed. The research methods and difficulties are provided. The scenario of power system human-AI cooperation dispatching is designed. This paper lays the research foundation of the human-in-the-loop hybrid-augmented intelligence method for power system dispatching. ©2023 Chin.Soc.for Elec.Eng.
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页码：1 / 14
页数：13
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