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基于脆弱线路辨识的连锁故障阻断方法

Blocking Strategy Against Cascading Failures Based on Vulne rable Line Identification

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【作者】 范文礼张雪敏梅生伟张文一黄少伟魏巍

【Author】 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;

【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

【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。

【Abstract】 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.

【基金】 国家自然科学基金创新研究群体科学基金资助项目(51321005),国家自然科学基金项目(51377091);中国博士后科学基金(2016M591172)资助项目
  • 【会议录名称】 第36届中国控制会议论文集(A)
  • 【会议名称】第36届中国控制会议
  • 【会议时间】2017-07-26
  • 【会议地点】中国辽宁大连
  • 【分类号】TM711
  • 【主办单位】中国自动化学会控制理论专业委员会
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