丁俐夫, 陈颖, 肖谭南, 黄少伟, 沈沉. 基于大语言模型的新型电力系统生成式智能应用模式初探[J]. 电力系统自动化, 2024, 48(19): 1-13.
引用本文: 丁俐夫, 陈颖, 肖谭南, 黄少伟, 沈沉. 基于大语言模型的新型电力系统生成式智能应用模式初探[J]. 电力系统自动化, 2024, 48(19): 1-13.
DING Lifu, CHEN Ying, XIAO Tannan, HUANG Shaowei, SHEN Chen. Exploration of Generative Intelligent Application Mode for New Power Systems Based on Large Language Models[J]. Automation of Electric Power Systems, 2024, 48(19): 1-13.
Citation: DING Lifu, CHEN Ying, XIAO Tannan, HUANG Shaowei, SHEN Chen. Exploration of Generative Intelligent Application Mode for New Power Systems Based on Large Language Models[J]. Automation of Electric Power Systems, 2024, 48(19): 1-13.

基于大语言模型的新型电力系统生成式智能应用模式初探

Exploration of Generative Intelligent Application Mode for New Power Systems Based on Large Language Models

  • 摘要: 新型电力系统数字化转型需要智能化应用体系支撑。首先,文中探讨了新型电力系统智能应用构建的关键难题,提出了基于大语言模型的新型电力系统生成式智能应用模式及其逻辑框架,并探讨了此模式下实现智能应用全生命周期自动化构建的技术方案;其次,针对系统仿真需求,介绍了典型生成式智能应用案例,并说明了相关技术方案特点;最后,展望了生成式智能应用发展的趋势和研究方向,供后续研究者借鉴。

     

    Abstract: The digital transformation of new power systems needs the support of intelligent application system. Firstly, the critical challenges in the construction of intelligent application for the new power system are discussed. A generative intelligent application mode and its logical framework for new power systems based on large language models are proposed. And the technical schemes for realizing the automatic construction of intelligent application in the entire lifecycle in this mode are explored. Secondly, according to the requirements of system simulation, typical cases of generative intelligent applications are introduced, and the characteristics of the related technical schemes are explained. Finally, the development trends and research directions of generative intelligent applications are prospected, which provide reference for future researchers.

     

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