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电力设备数智化发展历程与大语言模型智能体应用展望

Evolution of Digitization and Intelligence of Power Equipment and Prospects for Application of Large Language Model Based Agent

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【作者】 周远翔陈健宁赵亮程佳玉姜贵敏骆柏锋

【Author】 ZHOU Yuanxiang;CHEN Jianning;ZHAO Liang;CHENG Jiayu;JIANG Guimin;LUO Baifeng;State Key Laboratory of Power System Operation and Control,Department of Electrical Engineering,Tsinghua University;China Southern Power Grid Digital Grid Research Institute Co.,Ltd.;

【通讯作者】 周远翔;

【机构】 清华大学电机工程与应用电子技术系新型电力系统运行与控制全国重点实验室南方电网数字电网研究院有限公司

【摘要】 新型电力系统对电力设备的数字化、智能化提出更高的要求。为此回顾了电力设备数智化的发展历程,对不同发展阶段的电网与电力设备建设目标及数智化技术进行分析,并总结了电力设备数智化的技术需求及发展现状。结合现阶段大语言模型智能体的技术特点,提出了该技术在电力设备运维智能化的五层应用框架设想,并展望了其在自然语言交互系统、数字孪生系统、智能机器人的场景应用。最后提出了大语言模型智能体在电力设备的运维智能化应用可能存在的经济性、可靠性、可行性、高效性等问题,为推进电力设备数智化建设提供参考。

【Abstract】 In response to the growing demands for digitalization and intelligent capabilities in new power systems, this paper reviews the evolution of digital-intelligent development in power equipment. The construction goals of power grid and digital-intelligent technology characteristic of power equipment at different developmental stages are analyzed, and the corresponding technical requirements and current status are summarized. Based on the technical characteristics of large language model(LLM) agent at the current stage, a five-layer application framework for the intelligent operation and maintenance of power equipment is proposed. Potential applications of the proposed approach in natural language interaction systems, digital twin systems, and intelligent robotics are further explored. Finally, possible economic, reliability, feasibility, and efficiency challenges in applying LLM agent to power equipment operation and maintenance are identified, providing a reference for advancing digital-intelligent development in power equipment.

【基金】 国家自然科学基金(52037009)~~
  • 【文献出处】 高电压技术 ,High Voltage Engineering , 编辑部邮箱 ,2025年08期
  • 【分类号】TP18;TM50
  • 【下载频次】310
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