电力设备数智化发展历程与大语言模型智能体应用展望

ZHOU Yuanxiang; CHEN Jianning; ZHAO Liang; CHENG Jiayu; JIANG Guimin; LUO Baifeng

doi:10.13336/j.1003-6520.hve.20250672

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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

更新时间：2026-09-17

- 电力设备数智化发展历程与大语言模型智能体应用展望
- Vol. 51, Issue 8, Pages: 4089-4109(2025)
- 作者机构：
  
  1. 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,北京,100084
  2. 南方电网数字电网研究院有限公司,广州,510000
- 作者简介：
- 基金信息：
- DOI：10.13336/j.1003-6520.hve.20250672
  CLC：
- Received：31 August 2025，
  
  Published：2025
- 稿件说明：
移动端阅览
ZHOU Yuanxiang, CHEN Jianning, ZHAO Liang, et al. 电力设备数智化发展历程与大语言模型智能体应用展望[J]. 2025, 51(8): 4089-4109.
DOI：

ZHOU Yuanxiang, CHEN Jianning, ZHAO Liang, et al. 电力设备数智化发展历程与大语言模型智能体应用展望[J]. 2025, 51(8): 4089-4109. DOI： 10.13336/j.1003-6520.hve.20250672.

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.

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