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Framework and Key Technologies of Human-machine Hybrid-augmented Intelligence System for Large-scale Power Grid Dispatching and Control

Shixiong Fan Jianbo Guo Shicong Ma Lixin Li Guozheng Wang Haotian Xu Jin Yang Zening Zhao

CSEE Journal of Power and Energy Systems2024，Vol.10Issue(1)：P.1-12,12.

CSEE Journal of Power and Energy Systems2024，Vol.10Issue(1)：P.1-12,12.DOI:10.17775/CSEEJPES.2023.00940

Framework and Key Technologies of Human-machine Hybrid-augmented Intelligence System for Large-scale Power Grid Dispatching and Control

Shixiong Fan ¹Jianbo Guo ¹Shicong Ma ¹Lixin Li ¹Guozheng Wang ²Haotian Xu ¹Jin Yang ³Zening Zhao¹

作者信息

1. China Electric Power Research Institute,Beijing 100192,China
2. the Beijing Huairou Laboratory,Beijing 101400,China
3. School of Engineering,the University of Glasgow,Glasgow G128QQ,UK
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摘要

关键词

Artificial intelligence/human-machine collaborative control/human-machine hy brid intelligence/optimization and evolution/power grid dispatching and control

分类

信息技术与安全科学

引用本文复制引用

Shixiong Fan,Jianbo Guo,Shicong Ma,Lixin Li,Guozheng Wang,Haotian Xu,Jin Yang,Zening Zhao..Framework and Key Technologies of Human-machine Hybrid-augmented Intelligence System for Large-scale Power Grid Dispatching and Control[J].CSEE Journal of Power and Energy Systems,2024,10(1):P.1-12,12.

基金项目

supported by the National Key R&D Program of China(2018AAA0101500). （2018AAA0101500）

CSEE Journal of Power and Energy Systems

OACSTPCDEI

ISSN：2096-0042

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