Rapid Search of Cascading Failure Serious Paths in Power Systems Based on Vulnerable Line Identification Results

doi:10.11930/j.issn.1004-9649.201612112

Abstract

Abstract: In order to balance the search accuracy and efficiency, this paper proposed a new algorithm, which is based on vulnerable line identification results and operation status of power systems and is suitable for the rapid identification of serious fault paths. Firstly, the modified k-core method was introduced to rapidly recognize the vulnerable lines in power grid. Secondly, the cascading failure development in the direction that may lead to serious power losses was identified by specifying the first two cascading failure components as the vulnerable lines, so as to improve the efficiency of prediction. The case studies are carried out on the IEEE 39-bus test system to demonstrate the validity and effectiveness of the proposed method.

Key words: vulnerable line, power grid, cascading failure, serious fault paths, rapid search

CLC Number:

TM732

YANG Chaoping, MA Zhiyuan, SHEN Chen, ZHANG Shuang, GU Yujia. Rapid Search of Cascading Failure Serious Paths in Power Systems Based on Vulnerable Line Identification Results[J]. Electric Power, 2017, 50(9): 66-71.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201612112

https://www.electricpower.com.cn/EN/Y2017/V50/I9/66

References

[1] 汤涌,卜广全,易俊. 印度 “7·30”,“7·31”大停电事故分析及启示[J]. 中国电机工程学报,2012, 32（25）：167-174.
TANG Yong, BU Guangquan, YI Jun. Analysis and lessons for the blackout in Indian power grid on July 30 and 31, 2012 [J]. Proceedings of the CSEE, 2012, 32(25): 167-174.
[2] 丁道齐. 用复杂网络理论分析电网连锁性大停电事故机理[J]. 中国电力,2007,40（11）：25-32.
DING Daoqi. Applying complex network theory to analyze mechanism of cascading large blackouts failure[J]. Electric Power, 2007, 40(11): 25-32.
[3] 刘映尚,吴文传,冯永青,等. 基于自组织临界理论的南方电网停电事故宏观规律研究[J]. 中国电力,2007,40（7）：37-41.
LIU Yingshang, WU Wenchuan, FENG Yongqing, et al . A research on statistic orderliness of China southern power grid blackout based on self-organized criticality[J]. Electric Power, 2007, 40(7): 37-41.
[4] 吴文可,文福拴,薛禹胜,等. 基于马尔可夫链的电力系统连锁故障预测[J]. 电力系统自动化,2013,37（5）：29-37.
WU Wenke, WEN Fushuan, XUE Yusheng, et al . A markov Chain based model for forecasting power system cascading failures [J]. Automation of Electric Power Systems, 2013, 37(5): 29-37.
[5] KIM J, BUCKLEW J A, DOBSON I. Splitting method for speedy simulation of cascading blackouts[J]. IEEE Transactions on Power Systems, 2013, 28(3): 3010-3017
[6] CARRERAS B A, NEWMAN D E, DOBSON I, et al. Validating OPA with WECC data[C]// 2013 46th Hawaii International Conference on System Sciences, 2013: 2197-2204.
[7] MEI Shengwei, HE Fei, ZHANG Xuemin, et al . An improved OPA model and blackout risk assessment[J]. IEEE Transactions on Power Systems, 2009, 24(2): 814-823.
[8] 刘怀东,冯伟,李青,等. 计及连锁故障的暂态稳定概率评估方法[J]. 中国电力,2013,46（12）：38-42.
LIU Huaidong, FENG Wei, LI Qing, et al . Probabilistic assessment method considering cascading failures for power system transient stability [J]. Electric Power, 2013, 46(12): 38-42.
[9] WANG Ansi, LUO Yi, TU Guangyu, et al . Vulnerability assessment scheme for power system transmission networks based on the fault chain theory[J]. IEEE Transactions on Power Systems, 2011, 26(1): 442-450.
[10] NEWMAN D E, CARRERAS B A, LYNCH V E, et al . Exploring complex systems aspects of blackout risk and mitigation [J]. IEEE Transactions on Reliability, 2011, 60(1): 134-143.
[11] 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.
NI Xiangping, MEI Shengwei, ZHANG Xuemin. Transmission line's vulnerability assessment based on complex network theory [J]. Automation of Electric Power Systems, 2008, 32(4): 1-5.
[12] 丁明,韩平平. 小世界电网的连锁故障传播机理分析[J]. 电力系统自动化,2007,31（18）：6-10.
DING Ming, HAN Pingping. Study of failure spreading mechanism in the small-world power grid[J]. Automation of Electric Power Systems, 2007, 31(18): 6-10.
[13] CRUCITTI P, LATORA V, MARCHIORI M, et al . Efficiency of scale-free networks: error and attack tolerance[J]. Physica A: Statistical Mechanics and Its Applications, 2003, 320(4): 622-642.
[14] 刘文颖,但扬清,朱艳伟,等. 复杂电网自组织临界态辨识物理指标研究[J]. 电工技术学报,2014,29（8）：274-280.
LIU Wenying, DAN Yangqing, ZHU Yanwei, et al . Research on physical indicators to identify power systems self-organized critical state[J]. Transactions of China Electrotechnical Society, 2014, 29(8): 274-280.
[15] 王仁伟,张友刚,杨阳,等. 基于电气介数的复杂电网脆弱线路辨识[J]. 电力系统保护与控制,2014,42（20）：1-6.
WANG Renwei, ZHANG Yougang, YANG Yang, et al . Vulnerable line identification of complex power grid based on electrical betweenness[J]. Power System Protection and Control, 2014, 42 (20): 1-6.
[16] 蔡晔,曹一家,谭玉东,等. 基于标准化结构熵的电网结构对连锁故障的影响[J]. 电工技术学报, 2015,30（3）：36-43.
CAI Ye, CAO Yijia, TAN Yudong, et al . Influences of power grid structure on cascading failure based on standard structure entropy [J]. Transactions of China Electrotechnical Society, 2015, 30(3): 36-43.
[17] 李勇,刘俊勇,刘晓宇,等. 基于潮流熵的电网连锁故障传播元件的脆弱性评估[J]. 电力系统自动化,2012,36(19)：11-16.
LI Yong, LIU Junyong, LIU Xiaoyu, et al . Vulnerability assessment in power grid cascading failures based on entropy of power flow[J]. Automation of Electric Power Systems, 2012, 36(19): 11-16.
[18] 王毅,张轩,董毅峰,等. 计及自动装置模拟的连锁过载跳闸静态安全分析方法[J]. 中国电力,2014,47（6）：38-42.
WANG Yi, ZHANG Xuan, DONG Yifeng. A static security analysis method for cascading overload trips considering automatic device simulation [J]. Electric Power, 2014, 47(6): 38-42.
[19] KINNEY R, CRUCITTI P, ALBERT R, et al . Modeling cascading failures in the north american power grid[J]. The European Physical Journal B-Condensed Matter and Complex Systems, 2005, 46(1): 101-107.
[20] ALBERT R, ALBERT I, NAKARADO G L. Structural vulnerability of the north american power grid[J]. Physical Review E, 2004, 69(2): 25103.
[21] ZHANG Xiangyu, LIU Feng, YAO Rui, et al. Identification of key transmission lines in power grid using modified k-core decomposition [C]// 2013 3rd International Conference on Electric Power and Energy Conversion Systems, 2013: 1-6.
[22] 张翔昱. 电力网络自组织临界性与脆弱性研究[D]. 北京：清华大学,2014.
ZHANG Xiangyu. On the self-organized criticality and vulnerability of power grids[D]. Beijing: Tsinghua University, 2014.