4.7 Article

Cascading Failure Analysis Considering Interaction Between Power Grids and Communication Networks

期刊

IEEE TRANSACTIONS ON SMART GRID
卷 7, 期 1, 页码 530-538

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2015.2478888

关键词

Cascading failures; communication network; dynamic power flow; electric dispatching data network; interdependency

资金

  1. National Nature Foundation of China [61233008, 51377001, 51137003]
  2. International Science and Technology Cooperation Program of China [2015DFR70850]
  3. Science and Technology Program of State Grid Corporation of China [GWKJ2013-005]

向作者/读者索取更多资源

This paper aims to model interdependencies between power systems and dispatching data networks, and to analyze the intricate impacts on cascading failures. The functions of communication networks are embedded into dispatching data networks in China, thus we use dispatching data networks in the paper. The structures of dispatching data networks are generally categorized into two types: 1) double-star; and 2) mesh. The correlation of nodes in double-star networks and power systems is degree to degree,whereas degree to betweenness is the correlation for mesh networks. Furthermore, the interactive model between power grids and dispatching data networks is presented by a dynamic power flow model. Taking the IEEE 39-bus system and China's Guangdong 500-kV system as examples, in the case of random attacks on the interdependent system, simulation results show that the power grid coupled with double-star dispatching data networks has lower probability of catastrophic failures than with the mesh structure, because the double-star dispatching data network has outstanding capability of delivering information even though some communication nodes are out of order. In contrast, under intentional attacks, the decrement of the transmission performance of the double-star network is more serious than that in the mesh network. Therefore, the power system exhibits much higher vulnerability when coupled with the double-star network.

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