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A New Model to Analyze Power and Communication System Intra-and-Inter Dependencies
arXiv - CS - Social and Information Networks Pub Date : 2020-01-18 , DOI: arxiv-2001.06610 Sohini Roy, Harish Chandrasekaran, Anamitra Pal, Arunabha Sen
arXiv - CS - Social and Information Networks Pub Date : 2020-01-18 , DOI: arxiv-2001.06610 Sohini Roy, Harish Chandrasekaran, Anamitra Pal, Arunabha Sen
The reliable and resilient operation of the smart grid necessitates a clear
understanding of the intra-and-inter dependencies of its power and
communication systems. This understanding can only be achieved by accurately
depicting the interactions between the different components of these two
systems. This paper presents a model, called modified implicative
interdependency model (MIIM), for capturing these interactions. Data obtained
from a power utility in the U.S. Southwest is used to ensure the validity of
the model. The performance of the model for a specific power system application
namely, state estimation, is demonstrated using the IEEE 118-bus system. The
results indicate that the proposed model is more accurate than its predecessor,
the implicative interdependency model (IIM) [1], in predicting the system state
in case of failures in the power and/or communication systems.
中文翻译:
一种分析电力和通信系统内部和相互依赖性的新模型
智能电网的可靠和弹性运行需要对其电力和通信系统的内部和相互依赖性有一个清晰的了解。这种理解只能通过准确描绘这两个系统的不同组件之间的相互作用来实现。本文提出了一个模型,称为修正的隐含相互依赖模型 (MIIM),用于捕获这些交互。从美国西南部的一家电力公司获得的数据用于确保模型的有效性。使用 IEEE 118 总线系统演示了该模型对于特定电力系统应用(即状态估计)的性能。结果表明,所提出的模型比其前身隐含相互依赖模型(IIM)[1]更准确,
更新日期:2020-08-03
中文翻译:
一种分析电力和通信系统内部和相互依赖性的新模型
智能电网的可靠和弹性运行需要对其电力和通信系统的内部和相互依赖性有一个清晰的了解。这种理解只能通过准确描绘这两个系统的不同组件之间的相互作用来实现。本文提出了一个模型,称为修正的隐含相互依赖模型 (MIIM),用于捕获这些交互。从美国西南部的一家电力公司获得的数据用于确保模型的有效性。使用 IEEE 118 总线系统演示了该模型对于特定电力系统应用(即状态估计)的性能。结果表明,所提出的模型比其前身隐含相互依赖模型(IIM)[1]更准确,