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电力系统安全稳定校验的信息物理联合仿真方法

Cyber-Physical Coordinated Assessments with Incorporations of Transient Stability Analysis

  • 摘要:
        目的   为深入探究电力信息系统故障在信息物理融合系统(CPS)中对工程物理安全的影响机制,并确保研究结果易于复现和推广,
        方法   通过开源软件搭建了电力变电站信息物理联合仿真的轻量级测试平台。基于电力监控系统的拓扑结构,通过Mininet搭建了变电站过程层网络的虚拟化框架,并在虚拟主机中调用Scapy模块自定义通信系统的故障类型,根据信息系统仿真结果修改安稳分析程序PSD-BPA的计算文件,外部调用暂稳计算核心求解工程安全结果,实现Mininet与BPA之间的数据联动,得到电力CPS轻量级联合仿真平台。
        结果   仿真结果显示:变电站过程层网络中约64%的链路时延增加了10倍或以上,保护设备动作时间延缓至少12周波。根据文中提出的暂态稳定指标,部分站点在仿真周期内出现了严重的失步运行故障。
        结论   基于暂态稳定指标的筛选结果成功量化了安稳控制设备的信息故障对电力能源系统的影响。

     

    Abstract:
        Introduction   To further explore the potential influence of malfunctions in the information network on the power operation systems and assure that the results are replicable and acceptable,
        Method   the research established a lightweight co-simulation measure of the cyber-physical system in power substations based on the open-source environments. According to the topology of the power monitoring system, a virtualization framework of substation process level through Mininet was firstly built, and, in virtual hosts, the models from Scapy were imported to define the malfunctions in the communication system. Then, the calculation functions were modified automatically based on the simulation results from the Mininet-based virtualization framework. Finally, the stable/transient computing cores of PSD-BPA were externally called to produce stability results, and the lightweight CPS co-simulation platform was eventually obtained.
        Result   The simulation results suggest that the time delay of around 64% of links is increased more than 10 times and the operation time of the protective relay is postponed at least 12 cycles. According to the transient-stability-based index proposed in the research, multiple substations will engage serious out-of-step failures during the calculation period.
        Conclusion   The impacts of malfunctions of the information network on the power energy system are quantified based on the screening results using the proposed transient-stability-based index.

     

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