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电网仿真分析与决策的人工智能方法 被引量:15

Artificial Intelligence Techniques for Power Grid Simulation Analysis and Decision Making
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摘要 电网仿真是电网运行规划的支撑型技术,被广泛应用于电网各种运行方式的分析与决策。然而,目前基于电网仿真的分析与决策仍然需要人的参与,难以满足日益复杂的大电网需求,亟需寻找一条新的道路。人工智能的发展为电网仿真分析与决策提供了新的思路与方法。已有学者对人工智能在电网仿真分析与决策的应用做了广泛而深入的探索。该文旨在提供一个该领域最新进展的综合而清晰的蓝图。首先,介绍电网仿真分析与决策的概念和人工智能基本方法。然后,对人工智能在安全评估、稳定评估、潮流调整、安全控制、稳定控制、优化运行中的应用进行综述,系统地总结其思路、方法与优劣。尽管现有研究已经取得了不错的效果,但是人工智能应用过程中在知识建模、数据需求、特征提取以及迁移能力等方面还面临着不少挑战。该文在讨论这些挑战的同时,给出未来值得探索的研究方向。 Power grid simulation as a supporting technology of power grid operation planning has been widely used in the analysis and decision making of various power system operation modes.However,the analysis and decision-making based on power grid simulation still need human participation,which is difficult to meet the increasingly complex needs of large power grid;therefore,it is urgent to find a new way.The development of artificial intelligence provides brand ideas and methods for power grid simulation analysis and decision making.Many scholars have made extensive and in-depth explorations on the application of artificial intelligence in power grid simulation analysis and decision making.This paper aimed to provide a comprehensive and clear blueprint of the latest advances in the field.Firstly,the concepts of power grid simulation analysis and decision making as well as the basic method of artificial intelligence were introduced.Then,the applications of artificial intelligence in safety assessment,stability assessment,power flow adjustment,security control,stability control and optimized operation were summarized;its ideas,methods,advantages as well as disadvantages were also summarized systematically.Although the existing research has achieved good performance,the application of artificial intelligence still faces substantial challenges in knowledge modeling,data requirements,feature extraction and transferability.This paper also gave some research directions worth exploring in the future.
作者 汤涌 姚伟 王宏志 王灿 郭强 王甜婧 黄彦浩 TANG Yong;YAO Wei;WANG Hongzhi;WANG Can;GUO Qiang;WANG Tianjing;HUANG Yanhao(Laboratory of Power Grid Safety and Energy Conservation(China Electric Power Research Institute),Haidian District,Beijing 100192,China;Huazhong University of Science and Technology,Wuhan 430074,Hubei Province,China;Harbin Institute of Technology,Harbin 150001,Heilongjiang Province,China;Zhejiang University,Hangzhou 310058,Zhejiang Province,China)
出处 《中国电机工程学报》 EI CSCD 北大核心 2022年第15期5384-5405,共22页 Proceedings of the CSEE
基金 国家自然科学基金项目(U1866602)。
关键词 电网仿真 分析 决策 人工智能 深度学习 强化学习 power grid simulation analysis decision making artificial intelligence deep learning reinforcement learning
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