Probabilistic extension of flexible hybrid state estimation for cyber-physical systems
Probabilistic extension of flexible hybrid state estimation for cyber-physical systems
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DOI：
10.1016/j.ijepes.2020.106179
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发表时间：
2020-11
影响因子：
5.2
通讯作者：
Vanja G. Svenda;A. Stanković;A. Sarić;M. Transtrum
中科院分区：
文献类型：
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作者：
Vanja G. Svenda;A. Stanković;A. Sarić;M. Transtrum
本文提出了网络物理系统（CPS）的灵活混合状态估计（FHSE）的概率扩展。该算法的主要目标是通过优化信息和通信技术 (ICT) 使用来改进考虑实际通信时的系统状态跟踪。这些进步导致： 1) 应对 ICT 中断和不可避免的异常情况（延迟、数据包丢失和不良测量）； 2)基于预期的测量刷新时间确定优化的状态估计执行频率。此外，有关 CPS 的信息是从相量测量单元 (PMU) 和基于 SCADA 的测量中收集的。这种测量传输引入了两种网络可观测性类型，根据 1) 部署的测量仪器 (MI) 和 2) 接收到的测量结果，将系统分为可观测（白色）和不可观测（灰色）区域。针对 ICT 异常和中断引入了两步不良数据检测 (BDD) 方法。所提出的算法的优点在两个具有时变负载/发电的 IEEE 测试用例中得到了体现：14 总线和 300 总线。
This paper proposes a probabilistic extension to flexible hybrid state estimation (FHSE) for cyber-physical systems (CPSs). The main goal of the algorithm is improvement of the system state tracking when realistic communications are taken into account, by optimizing information and communication technology (ICT) usage. These advancements result in: 1) coping with ICT outages and inevitable irregularities (delay, packet drop and bad measurements); 2) determining the optimized state estimation execution frequencies based on expected measurement refresh times. Additionally, information about CPSs is gathered from both the phasor measurement units (PMU) and SCADA-based measurements. This measurement transfer introduces two network observability types, which split the system into observable (White) and unobservable (Grey) areas, based on 1) deployed measuring instruments (MIs) and 2) received measurements. A two-step bad data detection (BDD) method is introduced for ICT irregularities and outages. The proposed algorithm benefits are shown on two IEEE test cases with time-varying load/generation: 14-bus and 300-bus.