高电压技术2026，Vol.52Issue(7)：3010-3021,12.DOI:10.13336/j.1003-6520.hve.20250201
大语言模型辅助的电力系统频率智能调控
Intelligent Frequency Regulation of Power Systems Assisted by Large Language Models
摘要
Abstract
To deal with the problem of complex frequency response characteristics of power system after disturbance caused by high proportion of new energy grid connection,an intelligent frequency regulation method based on large lan-guage model is proposed.Firstly,by analyzing the key technologies such as prompt word engineering,RAG,function call and large model fine-tuning,and combining the low-frequency load shedding optimization rules based on vector database formed by natural language processing technology,a large model of vertical field of power system is constructed.Then,the adaptive ability of artificial intelligence generated content(AIGC)technology is used to achieve efficient frequency optimization control,which makes up for the lack of adaptability of traditional under-frequency load shedding methods in new energy power systems.The simulation results show that the frequency regulation optimized by this scheme signifi-cantly improves the stability of the power system,and the regulation results in multiple offline scenarios are better than those of the traditional methods.The research of this paper provides a new technical path for the intelligent control of power system frequency and has high application potentials.关键词
大语言模型/提示词工程/RAG/AIGC/低频减载Key words
large language model/prompt word project/RAG/AIGC/low frequency load shedding引用本文复制引用
李文彪,张泽栋,陶文彪,刘铖,王亮,李瑞..大语言模型辅助的电力系统频率智能调控[J].高电压技术,2026,52(7):3010-3021,12.基金项目
国网山西省电力公司科技项目(含高比例分布式风光储的智慧配电网适应能力评估及提升策略研究)(520530230024).Project supported by Science and Technology Project of State Grid Shanxi Electric Power Company(Research on Adaptability Evaluation and Promo-tion Strategy of Smart Distribution Network with High Proportion of Distributed Wind-Solar-Energy Storage)(520530230024). （含高比例分布式风光储的智慧配电网适应能力评估及提升策略研究）
