网络物理系统的分布式故障检测与电力网络系统的应用
IEEE transactions on cybernetics
|August 28, 2025
概括
本研究引入了使用分布式卡尔曼波器 (DKF) 的网络物理系统 (CPS) 分布故障检测方法. 这种方法可以在具有本地邻居通信的子系统中进行可靠的故障检测.
科学领域:
- 网络物理系统 (CPS)
- 控制系统工程
- 分布式信号处理
背景情况:
- 网络物理系统 (CPS) 是复杂的,包括许多相互连接的子系统.
- 准确的故障检测对于CPS的可靠运行至关重要.
- 传统的集中故障检测方法在大型CPS中面临着可扩展性和通信挑战.
研究的目的:
- 为一类CPS开发一个分布式故障检测方案.
- 提高各个子系统的故障检测的稳定性和准确性.
- 确保故障检测在不依赖全球信息交换的情况下运行.
主要方法:
- 使用分布式卡尔曼波器 (DKF) 对每个子系统进行状态估计,并结合邻居信息.
- 在每个子系统中使用DKF的局部残留发电机的设计.
- 调整DKF的参数以最大限度地降低估计误差和剩余强度的协差极限.
- 使用瞬间和移动窗口T2测试统计数据进行残留评估和值设置.
主要成果:
- 一个分布式故障检测方案,每个子系统只与其邻居通信.
- 通过优化的DKF参数证明了残留信号的稳定性.
- 根据T2测试统计数据建立了故障检测值.
- 在无故障场景中提供了保证平均平方边界度估计误差的条件.
结论:
- 拟议的分布式故障检测方案有效地允许在CPS子系统中进行本地故障检测.
- 该方法通过最小化估计错误和利用邻居信息来确保稳定性和可靠性.
- 该计划的分布性增强了可扩展性,并减少了复杂的CPS中的通信开销.
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