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1.北京交通大学电气工程学院,北京市 100044
2.中国电力科学研究院有限公司,北京市 100192
Received:09 May 2023,
Revised:2023-11-07,
Published Online:03 January 2024,
Published:25 February 2024
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王小君,窦嘉铭,刘曌等.可解释人工智能在电力系统中的应用综述与展望[J].电力系统自动化,2024,48(4):169-191.
WANG Xiaojun,DOU Jiaming,LIU Zhao,et al.Review and Prospect of Explainable Artificial Intelligence and Its Application in Power Systems[J].Automation of Electric Power Systems,2024,48(4):169-191.
王小君,窦嘉铭,刘曌等.可解释人工智能在电力系统中的应用综述与展望[J].电力系统自动化,2024,48(4):169-191. DOI: 10.7500/AEPS20230509007.
WANG Xiaojun,DOU Jiaming,LIU Zhao,et al.Review and Prospect of Explainable Artificial Intelligence and Its Application in Power Systems[J].Automation of Electric Power Systems,2024,48(4):169-191. DOI: 10.7500/AEPS20230509007.
可解释人工智能(XAI)作为新型人工智能(AI)技术,具有呈现AI过程逻辑、揭示AI黑箱知识、提高AI结果可信程度的能力。XAI与电力系统的深度耦合将加速AI技术在电力系统的落地应用,在人机交互的过程中为电力系统的安全、稳定提供助力。文中梳理了电力系统XAI的历史脉络、发展需求及热点技术,总结了XAI在源荷预测、运行控制、故障诊断、电力市场等方面的电力应用,并围绕解释含义、迭代框架、数模融合等方面展望了电力系统XAI的应用前景,可为推动电力系统智能化转型与人机交互迭代提供理论参考与实践思路。
Explainable artificial intelligence (XAI)
as a new type of artificial intelligence (AI) technologies
can present the logic of the AI process
reveal the AI black-box knowledge
and improve the credibility of the AI results. The deep coupling between XAI and power systems may accelerate the AI technology application in the power system and assist with the safety and stability of human-machine interaction. Therefore
this paper reviews the historical context
development needs
and hot technologies of XAI in the power system
summarizes its applications in source-load forecasting
operation control
fault diagnosis
and electricity market
and explores the application prospects of XAI in the power system around aspects such as interpretability
iterative framework
and number-matrix fusion. This paper aims to provide theoretical references and practical ideas for promoting the intelligent transformation and iterative human-machine interaction of the power system.
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