
1. 云南电网有限责任公司,云南,昆明,650011
2. 云南电网有限责任公司电力科学研究院,云南,昆明,650217
3. 广东工业大学 自动化学院,广东,广州,510006
Online First:15 May 2026,
Published:2026
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石恒初, 陈晓帆, 游昊, 虎啸, 许守东, 关远鹏. 基于录波数据的全域继电保护时钟失步智能校核系统设计[J]. 中国电力, 2026, 59(5): 97-108.
SHI Hengchu, CHEN Xiaofan, YOU Hao, et al. Design of global relay protection clock desynchronization intelligent verification system based on waveform recording data[J]. 2026, 59(5): 97-108.
石恒初, 陈晓帆, 游昊, 虎啸, 许守东, 关远鹏. 基于录波数据的全域继电保护时钟失步智能校核系统设计[J]. 中国电力, 2026, 59(5): 97-108. DOI: 10.11930/j.issn.1004-9649.202512042.
SHI Hengchu, CHEN Xiaofan, YOU Hao, et al. Design of global relay protection clock desynchronization intelligent verification system based on waveform recording data[J]. 2026, 59(5): 97-108. DOI: 10.11930/j.issn.1004-9649.202512042.
继电保护装置的时间同步对新型电力系统故障后的事故分析和动作追溯至关重要。为解决传统时钟监测覆盖不全、同步校正依赖人工、缺乏统一管理平台的问题,建立基于录波数据的全域继电保护时钟失步智能校核系统。系统依托现有录波主–子站架构,在主站侧部署继电保护时钟失步在线监测单元,统一接入多厂站录波数据,设计分时段远程启动监测和同源数据比对监测两类方案,实现故障与非故障场景下的全域保护装置时钟偏差在线监测。在此基础上,系统内置以“时钟偏差-漂移率”为状态变量的卡尔曼滤波智能校核算法,在考虑测量噪声影响的条件下对多时刻观测结果进行滤波与预测估计,生成更精准的偏差校准量。应用结果表明,系统可有效监测出时钟失步的继电保护装置,并可将同步校准后装置时钟偏差稳定控制在20 ms以内,有利于开展继电保护装置时钟失步下的事故后分析和时钟同步状态运行维护。
Time synchronization of protective relay devices is essential for post-fault incident analysis and action tracing in new power systems. To address the limitations of incomplete clock monitoring coverage
reliance on manual synchronization correction
and lack of a unified management platform
this paper establishes a global clock desynchronization intelligent verification system for protective relay devices based on waveform recording data. Leveraging the existing master-slave waveform recording architecture
the system deploys an online monitoring unit for relay protection clock desynchronization at the master station
which centrally accesses wave recording data from multiple substations. Two schemes are designed
namely time-phased remote startup monitoring and homologous data comparison monitoring
to realize online monitoring of clock-offset of global protection devices under both fault and non-fault conditions. On this basis
the system incorporates a Kalman filtering intelligent verification algorithm with clock-offset–drift rate as state variables
which filters and predicts multi-time observation results while considering the influence of measurement noise to generate more accurate deviation verification values. Field applications demonstrate that the system can effectively identify desynchronized relays and maintain the post-synchronization clock deviation of devices within 20 ms
which is conducive to post-incident analysis and operation maintenance of clock synchronization status under relay protection device clock desynchronization.
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