计及级联失效的电力信息系统脆弱性评估

马世英; 郭逸豪; 宋墩文; 郭创新

doi:10.12096/j.2096-4528.pgt.2018.034

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计及级联失效的电力信息系统脆弱性评估

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- 计及级联失效的电力信息系统脆弱性评估
- Vulnerability Assessment of Power Information System Considering Cascading Failures
- 发电技术 2018年39卷第3期页码：226-232
- 作者机构：
  
  1.电网安全与节能国家重点实验室(中国电力科学研究院有限公司), 北京市海淀区 100192
  2.浙江大学电气工程学院, 浙江省杭州市 310027
- 作者简介：
  
  [ "马世英(1969), 男, 教授级高级工程师, 主要从事电力系统稳定与控制、电力系统仿真技术研究工作, mashiy@epri.sgcccom.cn" ]
  [ "郭逸豪(1995), 男, 博士研究生, 主要研究方向为电网信息物理系统、综合能源系统" ]
  [ "宋墩文(1971), 男, 高级工程师, 研究方向为电力系统安全稳定控制和电力系统仿真计算分析" ]
  [ "郭创新(1969), 男, 教授, 博士生导师, 研究方向为电网信息物理系统、智能信息处理技术、风险调度" ]
- 基金信息：
  
  国家自然科学基金项目(51537010);国家电网公司科技项目(XT71-16-053)
- DOI：10.12096/j.2096-4528.pgt.2018.034
  中图分类号：
- 收稿：2018-03-24，
  
  纸质出版：2018-06-28
- 稿件说明：
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马世英, 郭逸豪, 宋墩文, 等. 计及级联失效的电力信息系统脆弱性评估[J]. 发电技术, 2018,39(3):226-232.

Shiying MA, Yihao GUO, Dunwen SONG, et al. Vulnerability Assessment of Power Information System Considering Cascading Failures[J]. Power Generation Technology, 2018, 39(3): 226-232.
马世英, 郭逸豪, 宋墩文, 等. 计及级联失效的电力信息系统脆弱性评估[J]. 发电技术, 2018,39(3):226-232. DOI： 10.12096/j.2096-4528.pgt.2018.034.

Shiying MA, Yihao GUO, Dunwen SONG, et al. Vulnerability Assessment of Power Information System Considering Cascading Failures[J]. Power Generation Technology, 2018, 39(3): 226-232. DOI： 10.12096/j.2096-4528.pgt.2018.034.

摘要

电力信息系统对保障电网正常运行至关重要。电力信息系统发生故障会导致系统中负载的重新分配，由此引发的网络拥塞等问题可能导致新的设备或子系统故障，从而形成级联失效。将电力信息系统抽象为复杂网络，在此基础上，改进了传统的负载-容量模型使其满足电力信息系统数据流特点，同时将节点在物理世界中的分布反映在节点负载中；从拓扑结构和网络性能两方面建立了脆弱性评估指标，并给出了完整的脆弱性评估流程；最后，通过对测试系统进行仿真计算，分析了级联失效的过程和冗余系数对系统脆弱性的影响，验证了方法的有效性和合理性。

Abstract

Power information systems are important for the operation of power systems. When part of the power information system fails

the loads will be redistributed. Due to network congestions

cascading failures may occur

and additional devices or sub-systems would fail. In this paper

power information system was abstracted to a complex network. The traditional load-capacity model was improved to satisfy the characteristics of power information systems. The improved model also reflects the distribution of power information system nodes. Moreover

two vulnerability indices were established from the perspective of both topological structure and network properties

and the vulnerability assessment process was proposed. Finally

cascading failure process and the impact of redundancy factor were analyzed in case study. The effectiveness and rationality of this method was verified by the results.

关键词

Keywords

references

杨有秀. 电力信息网络脆弱性分析与仿真验证技术研究[D]. 北京: 北京邮电大学, 2015.

Albert R, Jeong H, Barabási A-L.Error and attack tolerance of complex networks[J].Nature, 2000, 406(6794):378-382.

Holme P, Kim B J, Yoon C N, et al.Attack vulnerability of complex networks[J].Physical Review E, 2002, 65(5):056109.

倪向萍, 梅生伟, 张雪敏.基于复杂网络理论的输电线路脆弱度评估方法[J].电力系统自动化, 2008, 32(4):1-5.

刘念, 张建华, 段斌, 等.网络环境下变电站自动化通信系统脆弱性评估[J].电力系统自动化, 2008, 32(8):28-33.

Luciano da Fontoura Costa.Reinforcing the resilience of complex networks[J].Physical Review E, 2004, 69(6):066127.

Beygelzimer A, Grinstein G, Linsker R, et al.Improving network robustness by edge modification[J].Physica A:Statistical Mechanics and its Applications, 2005, 357(3-4):593-612.

Hayashi Y, Matsukubo J.Improvement of the robustness on geographical networks by adding shortcuts[J].Physica A:Statistical Mechanics and its Applications, 2007, 380(1):552-562.

Motter A E, Lai Y-C.Cascade-based attacks on complex networks[J].Physical Review E, 2002, 66(6):065102.

王健, 刘衍珩, 梅芳, 等.基于网络拥塞的Internet级联故障建模[J].计算机研究与发展, 2010, 47(5):772-779.

谢丰, 程苏琦, 陈冬青, 等.基于级联失效的复杂网络抗毁性[J].清华大学学报(自然科学版), 2011, 51(10):1252-1257.

Barabási A L, Albert R.Emergence of scaling in random networks[J].Science, 1999, 286(5439):509.

Echennique P, Gomez-Gardenes J, Moreno Y.Improved routing strategies for internet traffic delivery[J].Physical Review E, 2004, 70(5):1-4.

Cuadra L, Salcedo-Sanz S, Ser J D, et al.A critical review of robustness in power grids using complex networks concepts[J].Energies, 2015, 8(9):9211-9265.

Guo Jia, Han Yuqi, Guo Chuangxin, et al.Modeling and vulnerability analysis of cyber-physical power systems considering network topology and power flow properties[J].Energies, 2017, 10(1):87-107.

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