Review on the Research and Practice of Hybrid-Augmented Intelligence in Power Systems

Shixiong Fan; Jianbo Guo; Yijun Zeng; Dongqi Li; Shicong Ma

doi:10.17775/CSEEJPES.2025.04630

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Review on the Research and Practice of Hybrid-Augmented Intelligence in Power Systems

Special Issue Commemorating the 10<sup>th</sup> Anniversary of CSEE Journal of Power and Energy Systems | 更新时间：2026-10-16

- Review on the Research and Practice of Hybrid-Augmented Intelligence in Power Systems
- Review on the Research and Practice of Hybrid-Augmented Intelligence in Power Systems
- 中国电机工程学会电力与能源系统学报(英文) 2025年11卷第6期页码：2535-2552
- 作者机构：
  
  China Electric Power Research Institute,Beijing,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2025.04630
  中图分类号：
- 纸质出版：2025-11-01
- 稿件说明：
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Shixiong Fan, Jianbo Guo, Yijun Zeng, 等. Review on the Research and Practice of Hybrid-Augmented Intelligence in Power Systems[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(6):2535-2552.

Shixiong Fan, Jianbo Guo, Yijun Zeng, et al. Review on the Research and Practice of Hybrid-Augmented Intelligence in Power Systems[J]. CSEE Journal of Power and Energy Systems, 2025, 11(6): 2535-2552.
Shixiong Fan, Jianbo Guo, Yijun Zeng, 等. Review on the Research and Practice of Hybrid-Augmented Intelligence in Power Systems[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(6):2535-2552. DOI： 10.17775/CSEEJPES.2025.04630.

Shixiong Fan, Jianbo Guo, Yijun Zeng, et al. Review on the Research and Practice of Hybrid-Augmented Intelligence in Power Systems[J]. CSEE Journal of Power and Energy Systems, 2025, 11(6): 2535-2552. DOI： 10.17775/CSEEJPES.2025.04630.

摘要

Abstract

Hybrid-augmented intelligence (HAI) technology is a viable and significant growth paradigm for the implementation of artificial intelligence (AI) in power systems. It is used to address the challenges of ensuring the secure and trustworthy application of AI models

caused by uncertainty

openness

and the vulnerability of the power grid. First

this paper explores the concept and connotations of human-machine hybrid-augmented intelligence (HHI) technology and summarizes its application development in the fields of autonomous driving

robotics

medical treatment

and the military. A paradigm for the application of HAI in power systems is then proposed

in combination with the construction of HAI systems and human-machine collaboration (HMC) modes for power systems. This study systematically reviews the advancements and core technologies of HAI in power systems

focusing on four aspects: human-machine-intelligence modeling

machine-enhanced human

human-enhanced machine

and human-machine interaction (HMI). Additionally

a practical case of HAI for power grid regulation and control is given. Finally

this paper analyzes the key technical challenges faced by HAI in power systems. It provides an outlook aimed at promoting and enriching the development of basic theories and key technologies for the safe and trustworthy application of HAI in power systems.

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