基于脆弱线路辨识的连锁故障阻断方法
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- 英文论文题名：Blocking Strategy Against Cascading Failures Based on Vulne rable Line Identification
- 论文作者：范文礼 ; 张雪敏 ; 梅生伟 ; 张文一 ; 黄少伟 ; 魏巍
- 英文论文作者：FAN Wenli ; ZHANG Xuemin ; MEI Shengwei ; ZHANG Wenyi ; HUANG Shaowei ; WEI Wei ; State Key Laboratory of Power System ; Department of Electrical Engineerin g ; Tsinghua University ; School of Electrical Engineering ; Southwest Jiaotong University ; Sichuan Electric Power Corporation Electric Power Research Institute
- 年：2017
- 作者机构：电力系统及发电设备控制和仿真国家重点实验室(清华大学电机系);西南交通大学电气工程学院;四川省电力公司电力科学研究院;
- 论文关键词：脆弱线路 ; K核分解 ; 复杂网络 ; 连锁故障阻断
- 英文论文关键词：Vulnerable lines ; K-shell decomposition ; Complex network ; Cascading failure blocking
- 会议召开时间：2017-07-26
- 会议录名称：第36届中国控制会议论文集（A）
- 英文会议录名称：Proceedings of the 36th Chinese Control Conference（A）
- 语种：中文
- 分类号：TM711
- 学会代码：KZLL
- 会议名称：第36届中国控制会议
- 会议地点：中国辽宁大连
- 主办单位：中国自动化学会控制理论专业委员会
- 学会名称：中国自动化学会控制理论专业委员会
- 页数：6
- 文件大小：548k
- 原文格式：D
- 会议级别：全国
摘要
连锁故障阻断是提高电力系统安全性的前提,融合脆弱线路辨识的连锁故障阻断为连锁故障预防提供了新的研究思路。鉴于此,本文提出了一种基于脆弱线路辨识的连锁故障阻断方法。首先,提出了一种基于改进K核分解的脆弱线路辨识方法;其次,利用脆弱线路辨识结果,改进了传统的OPA模型,将慢动态过程中的线路容量均等比例升级优化为基于脆弱线路辨识的择优升级。最后,在IEEE-39节点系统上的数值仿真分析表明,本文提出的基于改进K核分解的脆弱线路辨识方法是有效的。同时,基于该方法进行连锁故障阻断还可以大幅降低电力系统的停电风险。
Cascading fault blockage is the premise to improve the security of power systems, a nd the cascading fault blocking integrating the vulnerable transmission line identification provides a new research direction for the prevention of cascading failures. In view of this, this paper put forward a new cascading failure blocking method based on vulnerable transmission line identification. Firstly, this paper proposed a vulnerable transmission line identification method based on the improved K-shell decomposition. Secondly, the identification results were used to improve the traditional OPA model.In the improved OPA model, the equal proportion upgrading of line capacities in the slow dynamic process was optimized to be the preferred upgrading based on the vulnerable transmission line identification. Finally, the numerical simulations on the IEEE-39 bus system showed that the vulnerable transmission line identification method based on the improved K-shell decomposition is effective. Meanwhile, the cascading fault blocking based on this method could reduce the blackout risk of the power system greatly.
Cascading fault blockage is the premise to improve the security of power systems, a nd the cascading fault blocking integrating the vulnerable transmission line identification provides a new research direction for the prevention of cascading failures. In view of this, this paper put forward a new cascading failure blocking method based on vulnerable transmission line identification. Firstly, this paper proposed a vulnerable transmission line identification method based on the improved K-shell decomposition. Secondly, the identification results were used to improve the traditional OPA model.In the improved OPA model, the equal proportion upgrading of line capacities in the slow dynamic process was optimized to be the preferred upgrading based on the vulnerable transmission line identification. Finally, the numerical simulations on the IEEE-39 bus system showed that the vulnerable transmission line identification method based on the improved K-shell decomposition is effective. Meanwhile, the cascading fault blocking based on this method could reduce the blackout risk of the power system greatly.
引文
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[7]Bompard E,Wu D,Xue F.Structural vulnerability of power systems:A topological approach[J].Electric Power Systems Research,2011,81(7):1334-1340.
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[9]Fan W L,Hu P,Liu Z G.Multi-attribute node importance evaluation method based on Gini-coefficient in complex power grids[J].IET Generation,Transmission&Distribution,2016,10,(9),pp.2027-2034.
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[11]蔡晔,曹一家,李勇,等.考虑电压等级和运行状态的电网脆弱线路辨识[J].中国电机工程学报,2014,34(13):2124-2131.Cai Ye,Cao Yijia,Li Yong,et al.Identification of Vulnerable Lines in Urban Power Grid Based on Voltage Grade and Running State[J].Proceedings of the CSEE,2014,34(13):2124-2131.
[12]范文礼.基于复杂网络理论的连锁故障建模与预防研究[D].成都:西南交通大学,2014.Fan Wenli.Modeling and prevention of cascading failures based on the complex network theory[D].Chengdu:Southwest Jiaotong University,2014.
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[14]Yang R,Wang W X,Lai Y C,et al.Optimal weighting scheme for suppressing cascades and traffic congestion in complex networks[J].Physical Review E,2009,79(2):026112/1-6.
[15]徐林,王秀丽,王锡凡.基于电气介数的电网连锁故障传播机制与积极防御[J].中国电机工程学报,2010,30(13):61-68.Xu Lin,Wang Xiuli,Wang Xifan.Cascading Failure Mechanism in Power Grid Based on Electric Betweenness and Active Defence[J].Proceedings of the CSEE,2010,30(13):61-68.
[16]Li Y F,Zio E,Sansavini G,et al.A Multi-Objective Memetic Optimization Method for Power Network Cascading Failures Protection[J].Proceedings of PS AM 11&ESREL 2012,2012:1-10.
[17]Bao Z J,Wu G,Yan W J.Control of cascading failures in coupled map lattices based on adaptive predictive pinning control[J].Journal of Zhejiang University SCIENCE C,2011,12(10):828-835.
[18]PEPYNE D L.Topology and power flows in power grids[C].//Proceedings of the 46th IEEE Conference on Decision and Control.December,10-11,2007,New Orleans,LA,USA:2423-2426.
[19]Crucitti P,Latora V,Marchiori M.A topological analysis of the Italian electric power grid[J].Physica A:Statistical Mechanics and its Applications,2004,338(1):92-97.
[20]Kitsak Maksim;Gallos Lazaros K.;Havlin Shlomo;et al.Identifying influential spreaders in complex networks[J].NATURE PHYSICS.2010,6(11):888-893.
[21]Liu Y,Tang M,Zhou T,et al.Core-like groups result in invalidation of identifying super-spreader by k-shell decomposition[J].Scientific Reports,2015,5:9602.
[22]Dobson I,Carreras B A,Lynch V E,et al.An initial model for complex dynamics in electric power system blackouts[C].//Proceedings of the 34th Annual Hawaii International Conference on System Sciences,January,3-6,2001,Maui,Hawaii:710-718.
[23]梅生伟,薛安成,张雪敏.电力系统自组织临界特性与大电网安全[M].清华大学出版社,2009.Mei Shengwei,Xue Ancheng,Zhang Xuemin.Self-organized critical features and safety of power grid[M].Beijing:Tsinghua University Press,2009.
[2]Mei S W,He F,Zhang X M,et al.An improved OPA model and blackout risk assessment[J],IEEE Transactions on Power Systems,2009,24(2):814-823.
[3]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.
[4]Bai H,Miao S.Hybrid flow betweenness approach for identification of vulnerable line in power system[J].IET Generation,Transmission and Distribution,2015,9(12):1324-1331.
[5]Chen X G,Sun K,Cao Y J,et al.Identification of vulnerable lines in power grid based on complex network theory[C].//2007 IEEE Power Engineering Society General Meeting,June 24-28 2007,Tampa,FL,USA:1-6.
[6]Bompard E,Napoli R,Xue F.Extended topological approach for the assessment of structural vulnerability in transmission networks[J].IET Generation,Transmission&Distribution,2010,4(6):716-724.
[7]Bompard E,Wu D,Xue F.Structural vulnerability of power systems:A topological approach[J].Electric Power Systems Research,2011,81(7):1334-1340.
[8]Wang K,Zhang B,Zhang Z,et al.An electrical betweenness approach for vulnerability assessment of power grids considering the capacity of generators and load[J].Physica A:Statistical Mechanics and its Applications,2011,390(23):4692-4701.
[9]Fan W L,Hu P,Liu Z G.Multi-attribute node importance evaluation method based on Gini-coefficient in complex power grids[J].IET Generation,Transmission&Distribution,2016,10,(9),pp.2027-2034.
[10]张富超,谢成荣,沈立新,等.基于源流路径链和输电介数的电网关键线路辨识[J].电力系统保护与控制,2015,43(21):7-12.Zhang Fuchao,Xie Chengrong,Shen Lixin,et al.Identification of power grid critical lines based on path chains and transmission betweenness[J].Power System Protection and Control,2015,43(21):7-12.
[11]蔡晔,曹一家,李勇,等.考虑电压等级和运行状态的电网脆弱线路辨识[J].中国电机工程学报,2014,34(13):2124-2131.Cai Ye,Cao Yijia,Li Yong,et al.Identification of Vulnerable Lines in Urban Power Grid Based on Voltage Grade and Running State[J].Proceedings of the CSEE,2014,34(13):2124-2131.
[12]范文礼.基于复杂网络理论的连锁故障建模与预防研究[D].成都:西南交通大学,2014.Fan Wenli.Modeling and prevention of cascading failures based on the complex network theory[D].Chengdu:Southwest Jiaotong University,2014.
[13]Wang J.Optimized Scale-Free Networks against Cascading Failures[J].International Journal of Modern Physics C,2012,23(11):1250075/1-12.
[14]Yang R,Wang W X,Lai Y C,et al.Optimal weighting scheme for suppressing cascades and traffic congestion in complex networks[J].Physical Review E,2009,79(2):026112/1-6.
[15]徐林,王秀丽,王锡凡.基于电气介数的电网连锁故障传播机制与积极防御[J].中国电机工程学报,2010,30(13):61-68.Xu Lin,Wang Xiuli,Wang Xifan.Cascading Failure Mechanism in Power Grid Based on Electric Betweenness and Active Defence[J].Proceedings of the CSEE,2010,30(13):61-68.
[16]Li Y F,Zio E,Sansavini G,et al.A Multi-Objective Memetic Optimization Method for Power Network Cascading Failures Protection[J].Proceedings of PS AM 11&ESREL 2012,2012:1-10.
[17]Bao Z J,Wu G,Yan W J.Control of cascading failures in coupled map lattices based on adaptive predictive pinning control[J].Journal of Zhejiang University SCIENCE C,2011,12(10):828-835.
[18]PEPYNE D L.Topology and power flows in power grids[C].//Proceedings of the 46th IEEE Conference on Decision and Control.December,10-11,2007,New Orleans,LA,USA:2423-2426.
[19]Crucitti P,Latora V,Marchiori M.A topological analysis of the Italian electric power grid[J].Physica A:Statistical Mechanics and its Applications,2004,338(1):92-97.
[20]Kitsak Maksim;Gallos Lazaros K.;Havlin Shlomo;et al.Identifying influential spreaders in complex networks[J].NATURE PHYSICS.2010,6(11):888-893.
[21]Liu Y,Tang M,Zhou T,et al.Core-like groups result in invalidation of identifying super-spreader by k-shell decomposition[J].Scientific Reports,2015,5:9602.
[22]Dobson I,Carreras B A,Lynch V E,et al.An initial model for complex dynamics in electric power system blackouts[C].//Proceedings of the 34th Annual Hawaii International Conference on System Sciences,January,3-6,2001,Maui,Hawaii:710-718.
[23]梅生伟,薛安成,张雪敏.电力系统自组织临界特性与大电网安全[M].清华大学出版社,2009.Mei Shengwei,Xue Ancheng,Zhang Xuemin.Self-organized critical features and safety of power grid[M].Beijing:Tsinghua University Press,2009.