图计算在电网CPS中的应用场景研究

Study on Application of Graph Processing in Power Grid Cyber-physical System

信息技术的广泛应用使得电力系统一次侧和二次侧形成了典型的信息-物理耦合系统(cyber-physicalsystem,CPS)。电网CPS的出现促进了新的建模方法、安全评估方法以及问题场景的出现。同时,由电网CPS导致的问题规模扩大、关联复杂性提升也对计算技术和分析方法形成了新的挑战。图计算作为计算机领域出现的一种新的并行计算框架,在处理海量图结构数据和复杂关联性问题时具有很大的优势。该文在详细阐述图计算特性的基础上,对图计算在电网CPS建模及耦合计算、网络结构脆弱性研究等场景的应用进行了分析,并提出了基于电网业务的图数据建模方法和电网CPS业务风险评估的图计算算法。最后利用实际的图计算系统进行了算例分析和应用展示。为电网CPS中相关场景的研究和实际应用提供了一种可行的图数据存储、分析和可视化技术方案。

With wide application of information technology, the grid infrastructure and communication equipment in power system constitute a typical cyber-physical system (CPS). Emergence of power grid CPS promotes emergence of new modeling methods, safety assessment methods and problem scenarios. At the same time, expansion of problem scale and promotion of related complexity caused by power grid CPS also pose new challenges to computing technology and analytical methods. Graph processing is a new parallel computing framework proposed in the field of computer science. It has a great advantage in dealing with massive data with graph structure and complicated relationship problems. In this paper, the characteristics of graph processing are described in detail. And the applications of graph processing in power grid CPS modeling, coupling calculation and network structure vulnerability research are analyzed. The application advantages and methods of each scenario are described. Then a graph data modeling method based on communication business and a graph processing algorithm of CPS business risk assessment are proposed. Finally, an example is given with the graph processing system, providing a feasible technical scheme for the research and practical application of relevant scenes in power grid CPS.