电器与能效管理技术 ›› 2026, Vol. 0 ›› Issue (9): 83-87.doi: 10.16628/j.cnki.2095-8188.2026.09.010

• 电器设计与探讨 • 上一篇    

基于电压扰动差分法的HVDC熔断器状态在线监测方法

杨锐   

  1. 杭州中恒电气股份有限公司, 浙江 杭州 310053
  • 收稿日期:2026-02-25 出版日期:2026-09-30 发布日期:2026-10-16
  • 作者简介:杨 锐(1990—),男,工程师,主要从事数据中心用交直流电源系统及供配电设备的开发设计及优化研究。

A Voltage Disturbance Differential Method for Online Monitoring of HVDC Fuse Status

Yang Rui   

  1. Hangzhou Zhonghen Electric Co., Ltd., Hangzhou 310053, China
  • Received:2026-02-25 Online:2026-09-30 Published:2026-10-16

摘要:

针对数据中心高压直流(HVDC)系统整流模块保护熔断器状态难以在线监测的难题,提出一种基于电压扰动差分法的在线监测方法。该方法无需新增硬件,通过控制器软件升级实现。采用智能巡检与“定时+动态”复合策略,主动施加可控电压扰动,差分对比整流模块输出电压与母线电压,实现熔断器状态的精准识别。实验表明,该方法可在1~3 s内识别熔断器状态,准确率达100.0%,母线电压波动优于GB/T 38833—2020《信息通信用240 V/336 V直流供电系统技术要求和实验方法》要求的±1.0%,系统带载能力无衰减。该技术兼容性与实用性强,可无缝集成至运维平台,替代人工巡检,提升HVDC系统供电可靠性与运维自动化水平,为人工智能(AI)智算数据中心智能化运维提供支撑。

关键词: 数据中心, HVDC系统, 熔断器状态, 电压扰动差分法, 在线监测

Abstract:

Aiming at the difficulty in online monitoring of protective fuse status for rectifier modules of HVDC systems in data centers, an online monitoring method based on the voltage disturbance differential technique is proposed. This method requires no extra hardware and is realized via controller software upgrade. By adopting intelligent inspection and the “timed+dynamic” composite strategy, controllable voltage disturbances are actively injected.The output voltage of rectifier modules and bus voltage are compared through differential calculation to realize accurate identification of fuse status. Experimental results demonstrate that fuse status can be identified within 1-3 s with 100% accuracy.The bus-voltage fluctuation is superior to the ±1.0% specified in GB/T 38833—2020, and no attenuation occurs in system load-carrying capacity. Featuring high compatibility and practicality, this technology can be seamlessly integrated into the operation- and- maintenance platform to replace manual inspection.It improves the power-supply reliability and operation-automation level of HVDC systems, and provides support for intelligent operation- and- maintenance of AI computing data center HVDC systems.

Key words: data center, HVDC system, fuse status, voltage disturbance differential method, online monitoring

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