| 引用本文: | 王宁,陈欢,文星,等.基于大模型的 HVDC 系统运维技术及发展综述[J].电力系统保护与控制,2026,54(11):177-187. |
| WANG Ning,CHEN Huan,WEN Xing,et al.Review of operation and maintenance technologies and development of HVDC systems based on large models[J].Power System Protection and Control,2026,54(11):177-187 |
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| 摘要: |
| 聚焦超高压主网架，综述大模型技术在该领域的应用成果。首先，阐述能源转型下高压直流 (high voltage direct current, HVDC) 系统安全稳定与高效运维面临的挑战，明确大模型针对 HVDC 运维的解决方案。其次，梳理 HVDC 关键特性与智能电网场景下大模型的基础原理，重点分析适配 HVDC 场景的大模型关键技术，包括设备知识体系构建、换流站轻量化模型及数据安全协同架构。然后，结合实际案例，说明大模型在 HVDC 故障诊断与预测、运行评估与调度、设备资产管理中的应用及成效。最后，剖析大模型应用面临的数据质量与安全、可解释性及算力成本问题，提出研究方向与展望。研究证实，大模型可推动 HVDC 运维从事后维修向预测性维护转型、调度从经验决策向智能决策升级，对保障 HVDC 安全高效运转意义重大。 |
| 关键词: 大模型 超高压 HVDC 运维 故障诊断与预测 |
| DOI：10.19783/j.cnki.pspc.251234 |
| 分类号: |
| 基金项目:国家自然科学基金项目资助 (62476242)；南方电网科技项目资助 (CGYKJXM20230156) |
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| Review of operation and maintenance technologies and development of HVDC systems based on large models |
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WANG Ning1, CHEN Huan1, WEN Xing1, QIAO Zhuqiao2, GAO Xuefei1, ZHANG Bin1
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1. EHV Power Transmission Company, China Southern Power Grid Co., Ltd., Guangzhou 510663, China;
2. Kunming Bureau of EHV Power Transmission Company, China Southern Power Grid Co., Ltd., Kunming 650217, China
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| Abstract: |
| Focusing on ultra-high voltage backbone grids, the application of large model technologies in this field is reviewed. First, the challenges faced by high-voltage direct current (HVDC) systems in achieving secure, stable, and efficient operation and maintenance under the energy transition are elaborated, and the solutions provided by large models are clarified. Second, the key characteristics of HVDC systems and the fundamental principles of large models in smart grids are summarized, with a focus on key technologies tailored to HVDC applications, including the construction of equipment knowledge systems, lightweight modelling of converter stations, and data-secure collaborative architectures. Then, through practical case studies, the applications and effectiveness of large models in HVDC fault diagnosis and prediction, operational evaluation and dispatch, and asset management are illustrated. Finally, the issues associated with large model applications, such as data quality and security, interpretability, and computational costs are analyzed, and future research directions and prospects are discussed. The study shows that large models can facilitate the transition of HVDC operation and maintenance from reactive repair to predictive maintenance, and enable the evolution of dispatching from experience-based decision-making to intelligent decision-making, which is of great significance for ensuring the safe and efficient operation of HVDC systems. |
| Key words: large model UHV HVDC operation and maintenance fault diagnosis and prediction |
