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山东大学学报 (工学版) ›› 2025, Vol. 55 ›› Issue (5): 1-17.doi: 10.6040/j.issn.1672-3961.0.2024.115

• 电气工程——智慧能源专题 •    

人工智能在电力系统潮流计算中的应用综述及展望

李常刚1,李宝亮1,曹永吉2*,王佳颖3   

  1. 1.电网智能化调度与控制教育部重点实验室(山东大学), 山东 济南 250061;2.山东大学智能创新研究院, 山东 济南 250101;3.国网浙江省电力有限公司营销服务中心, 浙江 杭州 311121)〓〓李常刚, 1984年11月出生, 博士, 教授, 博士生导师, 齐鲁青年学者, 电网智能化调度与控制教育部重点实验室副主任。主要从事电力系统运行与控制研究。中国电工技术学会高级会员, 青年工作委员会委员, 中国电机工程学会会员, IEEE会员, IEEE PES济南分会秘书长, IEEE PES(中国)电力系统动态技术委员会交直流混联电网安全稳定分析分委会秘书长。主持国家级重点项目1项、一般项目4项, 开发大规模交直流混联电力系统仿真软件STEPS并开源, 以一作/通信作者发表SCI/EI期刊论文40余篇, 授权发明专利15项, 获山东省科技进步奖二等奖3项、中国电力企业联合会电力创新奖一等奖1项、中国电力科技进步奖一等奖2项、山东电力科技进步奖一等奖1项等。
  • 发布日期:2025-10-17
  • 作者简介:李常刚(1984— ),男,山东日照人,教授,博士生导师,博士,主要研究方向为电力系统运行与控制. E-mail: lichgang@sdu.edu.cn. *通信作者简介:曹永吉(1992— ),男,山东青州人,副研究员,硕士生导师,博士,主要研究方向为电力系统稳定分析与控制、可再生能源并网及储能技术应用. E-mail: yongji@sdu.edu.cn
  • 基金资助:
    智能电网重大专项(2030)资助项目(2024200801100);山东省自然科学基金资助项目(ZR2021QE133)

Review and prospect on artificial intelligence application in power system power flow calculation

LI Changgang1, LI Baoliang1, CAO Yongji2*, WANG Jiaying3   

  1. LI Changgang1, LI Baoliang1, CAO Yongji2*, WANG Jiaying3(1. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education(Shandong University), Jinan 250061, Shandong, China;
    2. Academy of Intelligent Innovation, Shandong University, Jinan 250101, Shandong, China;
    3. State Grid Zhejiang Marketing Service Center, Hangzhou 311121, Zhejiang, China
  • Published:2025-10-17

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摘要： 以深度学习为代表的新一代人工智能技术为新型电力系统的数智化运行提供新机遇。为深化人工智能在复杂潮流计算问题中的应用,对相关领域的研究进行综述与展望。基于新一代人工智能技术的发展现状,立足于潮流计算问题的不同应用场景,总结传统求解方法,综述人工智能技术在潮流计算中的研究进展。分析该领域目前的问题与挑战,展望未来研究方向和研究范式,为人工智能技术在电力系统潮流计算领域的进一步应用提供参考。

关键词: 潮流计算, 人工智能, 深度学习, 数智化运行, 新型电力系统

Abstract: The new-generation artificial intelligence technologies, represented by deep learning, provided new opportunities for the digital and intelligent operation of new power systems. To deepen the understanding of the application of artificial intelligence in complex power flow calculation problems, the review and prospect of research in relevant fields were presented. Based on the current development status of the new-generation artificial intelligence technologies and grounded in power flow calculation with various scenarios, the traditional methods were summarized and the research progress of artificial intelligence techniques in power flow calculation was reviewed. The urgent challenges were analyzed and future research directions were envisioned to provide references for further applications of artificial intelligence technologies in the field of power flow calculation.

Key words: power flow calculation, artificial intelligence, deep learning, digital and intelligent operation, new power systems

中图分类号: 

  • TM71
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