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作 者:李佳旭 吴俊勇[1] 李栌苏 张振远 史法顺 LI Jiaxu;WU Junyong;LI Lusu;ZHANG Zhenyuan;SHI Fashun(School of Electrical Engineering,Beijing Jiaotong University,Beijing 100044,China;College of Mechanical and Electrical,Shijiazhuang University,Shijiazhuang 050035,China;Department of Electrical Engineering,Tsinghua University,Beijing 100084,China)
机构地区:[1]北京交通大学电气工程学院,北京100044 [2]石家庄学院机电学院,石家庄050035 [3]清华大学电机工程与应用电子技术系,北京100084
出 处:《高电压技术》2025年第4期1817-1833,共17页High Voltage Engineering
基 金:国家重点研发计划(2018YFB0904500);国家电网有限公司科技项目(SGLNDK00KJJS1800236)。
摘 要:伴随电力系统的不断发展,以及新能源的广泛接入,电力系统在电气结构与动态特性上的复杂度不断提高,这使得系统的频率安全性面临愈发严峻的挑战。首先,从频率安全评估及频率紧急控制两个方向,分别分析了传统方法与人工智能方法的应用情况,并针对高比例可再生能源电力系统的频率稳定问题展开论述。人工智能方法的飞速发展为电力系统频率安全评估提供了全新的研究道路,尤其是深度学习方法在电力系统中的应用,在解决愈发复杂的电力系统问题上具有显著优势。此外,频率紧急控制作为防止频率失稳的最后防线,一直是学者们研究的焦点,而强化学习具有很强的策略探索能力,如何将其用于优化频率紧急控制策略,势必成为今后重要的研究方向。最后,基于新型电力系统的特征,提出频率安全评估与紧急控制的研究展望。With the continuous development of power system and the extensive access of new energy sources,the complexity of the electrical structure and dynamic characteristics of power system is constantly increasing,which makes the frequency safety of the system face more and more severe challenges.Firstly,from the two directions of frequency safety assessment and frequency emergency control,the application of traditional method and artificial intelligence method are analyzed,respectively,and the frequency stability problem of high proportion of renewable energy power system is discussed.The rapid development of artificial intelligence methods provides a new research path for the frequency safety assessment of power systems.Especially,the application of deep learning methods in power systems has significant advantages in solving increasingly complex power system problems.In addition,as the last defense line to prevent frequency instability,frequency emergency control has always been the focus of scholars’research.Reinforcement learning has a strong ability to explore strategies,and how to use it to optimize frequency emergency control strategies is bound to become an important research direction in the future.Finally,based on the characteristics of the new power system,the research prospects of frequency safety assessment and emergency control are proposed.
关 键 词:电力系统 频率安全评估 频率紧急控制 可再生能源 人工智能 深度学习 强化学习
分 类 号:TM712[电气工程—电力系统及自动化]
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