1.North China Electric Power University;2.China Electric Power Research Institute
Project Supported by State Grid Corporation of China Science and Technology Project (DG71-18-009): Intelligent coordination control and energy optimization management of super-large scale battery energy storage power station based on information physics fusion
集中式超大规模储能电站与其控制系统逐渐发展成为信息物理系统（cyber physical system，CPS），信息技术和监控系统能够使超大规模储能电站应对多样化场景和满足不同的需求，但也带来也一定程度的安全运行风险。本文首先提出了超大规模储能电站的信息物理模型和网络拓扑结构，然后构建了基于元件失效，传输延迟的超大规模储能电站CPS可靠性模型。最后，采用非序贯蒙特卡洛方法分别对超大规模储能电站的信息层和物理层元件进行抽样，并分析了信息层在多种拓扑结构下，信息层元件的强迫故障率和传输延迟对超大规模储能电站CPS可靠性的影响，仿真结果可为超大规模储能电站规划和运行提供有效技术支撑。
The centralized ultra large scale energy storage power station and its control system have gradually developed into cyber physical system (CPS). Information technologies and monitoring system can not only enable VLSESPS to cope with diversified scenes and meet different demands, but also bring a certain degree of safe operational risks. Firstly, this paper proposed the cyber physical system model and the network topology structure of ultra large scale energy storage power station, and constructed the CPS reliability assessment model based on component failure and transmission delay. Finally, the non-sequential Monte Carlo method was used for cyber and physical layer components simulation respectively, and under a variety of topology structures of cyber layer, the influence of force outage rate of components and transmission delay were analyzed on the reliability of CPS. The simulation results can provide technology support on ultra large scale energy storage power station planning and operation.