Cyber-Power Co-Simulation for End-to-End Synchrophasor Network Analysis and Applications

Hussain M. Mustafa, Dexin Wang, K. S. Sajan, Eshwar Nag Pilli, Renke Huang, Amal Srivastava, Jianming Lian, Zhenyu Huang
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引用次数: 5

Abstract

The resiliency, reliability and security of the next generation cyber-power smart grid depend upon efficiently leveraging advanced communication and computing technologies. Also, developing real-time data-driven applications is critical to enable wide-area monitoring and control of the cyber-power grid given high-resolution data from Phasor Measurement Units (PMUs). North American Synchrophasor Initiative Network (NASPlnet) provides guidance for PMU data exchanges. With the advancement in networking and grid operation, it is necessary to evaluate the performance of different data flow architectures suggested by NASPInet and analyze the impact on applications. Therefore, we need a cyber-power co-simulation framework that supports very large-scale co-simulation capable of running in parallel, high-performance computing platforms and capturing real-life network behavior. This work presents an end-to-end automated and user-driven cyber-power co-simulation using NS3 to model communication networks, GridPACK to model the power grid, and HELICS as a co-simulation engine. Comparative analysis of latency in synchrophasor networks and a performance evaluation of a power system stabilizer application utilizing PMU data in an IEEE 39 bus test system is presented using this cosimulation testbed.
端到端同步相量网络分析与应用的网络功率联合仿真
下一代网络智能电网的弹性、可靠性和安全性取决于有效利用先进的通信和计算技术。此外,根据相量测量单元(pmu)提供的高分辨率数据,开发实时数据驱动应用程序对于实现网络电网的广域监测和控制至关重要。北美同步相量倡议网络(NASPlnet)为PMU数据交换提供指导。随着网络和网格操作的发展,有必要评估NASPInet提出的不同数据流架构的性能并分析其对应用程序的影响。因此,我们需要一个网络力量联合仿真框架,它支持能够在并行、高性能计算平台上运行的非常大规模的联合仿真,并捕获现实生活中的网络行为。这项工作提出了一个端到端自动化和用户驱动的网络电力联合仿真,使用NS3对通信网络建模,GridPACK对电网建模,HELICS作为联合仿真引擎。在ieee39总线测试系统中,利用PMU数据对同步相量网络的时延进行了对比分析,并对电力系统稳定器应用进行了性能评估。
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