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1.昆明理工大学电力工程学院,云南省昆明市 650500
2.强电磁工程与新技术国家重点实验室(华中科技大学),湖北省武汉市 430074
Received:14 January 2022,
Revised:2022-04-27,
Published Online:09 October 2022,
Published:25 November 2022
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杨博,陈义军,姚伟等.基于新一代人工智能技术的电力系统稳定评估与决策综述[J].电力系统自动化,2022,46(22):200-223.
YANG Bo,CHEN Yijun,YAO Wei,et al.Review on Stability Assessment and Decision for Power Systems Based on New-generation Artificial Intelligence Technology[J].Automation of Electric Power Systems,2022,46(22):200-223.
杨博,陈义军,姚伟等.基于新一代人工智能技术的电力系统稳定评估与决策综述[J].电力系统自动化,2022,46(22):200-223. DOI: 10.7500/AEPS20220114001.
YANG Bo,CHEN Yijun,YAO Wei,et al.Review on Stability Assessment and Decision for Power Systems Based on New-generation Artificial Intelligence Technology[J].Automation of Electric Power Systems,2022,46(22):200-223. DOI: 10.7500/AEPS20220114001.
以深度学习、强化学习和迁移学习等高级机器学习为代表的新一代人工智能技术在处理海量数据、挖掘复杂非线性映射等方面具有更强的优势,使其在电力系统稳定评估与决策中的应用逐渐受到青睐。首先
梳理了基于人工智能技术实现电力系统稳定评估与决策的基本框架;其次
针对稳定评估与稳定决策问题,分别从功角、频率、电压、宽频振荡这4个电力系统稳定性问题和预防控制、紧急控制、恢复控制这3种控制类型出发,进行了国内外学者的相关研究工作及关键技术评述;最后
依据新一代人工智能技术在电力系统稳定评估与决策中的应用现状,从数据、模型和应用3个层面对存在的一些问题提出了可能的应对措施和展望。
The new-generation artificial intelligence (AI) technology
represented by advanced machine learning such as deep learning
reinforcement learning and migration learning
has stronger advantages in processing massive data
mining complex nonlinear mapping
etc.
which makes its application in power system stability assessment and decision increasingly favored. First
the basic framework of power system stability assessment and decision based on artificial intelligence technology is summarized. Secondly
for the stability evaluation and stability decision
the relevant research work and key technologies of domestic and foreign scholars are reviewed respectively from the four power system stability problems of power angle
frequency
voltage and broadband oscillation and the three control types of preventive control
emergency control and recovery control. Finally
according to the application status of the new-generation AI technology in power system stability assessment and decision
possible countermeasures and prospects are proposed for some existing problems from three aspects of data
model and application.
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