王红壮, 刘天琪, 何川, 苏学能, 卢俊. 基于改进脆弱线路辨识的关键输电断面确定方法[J]. 现代电力, 2020, 37(3): 294-302. DOI: 10.19725/j.cnki.1007-2322.2019.0313
引用本文: 王红壮, 刘天琪, 何川, 苏学能, 卢俊. 基于改进脆弱线路辨识的关键输电断面确定方法[J]. 现代电力, 2020, 37(3): 294-302. DOI: 10.19725/j.cnki.1007-2322.2019.0313
WANG Hongzhuang, LIU Tianqi, HE Chuan, SU Xueneng, LU Jun. Key Transmission Section Determination Method Based on Improved Vulnerable Line Identification[J]. Modern Electric Power, 2020, 37(3): 294-302. DOI: 10.19725/j.cnki.1007-2322.2019.0313
Citation: WANG Hongzhuang, LIU Tianqi, HE Chuan, SU Xueneng, LU Jun. Key Transmission Section Determination Method Based on Improved Vulnerable Line Identification[J]. Modern Electric Power, 2020, 37(3): 294-302. DOI: 10.19725/j.cnki.1007-2322.2019.0313

基于改进脆弱线路辨识的关键输电断面确定方法

Key Transmission Section Determination Method Based on Improved Vulnerable Line Identification

  • 摘要: 输电断面集中体现了大规模互联电网的薄弱环节,是电力系统调度运行与监控分析的重点。为应对关键输电断面的准确合理辨识问题,提出一种依托改进脆弱线路表征的关键输电断面的辨识方法。首先,在结合边介数和功率传输分布因子的基础上,提出一种以改进传输介数方式量化线路脆弱程度的指标方法,并据此甄选出预想故障支路集内部包含的脆弱线路成员;其次,采用前k最短路径算法分别搜索预想故障支路的潮流转移断面,并依据支路开断分布因子择取与之相构成拓扑割集的电力系统关键输电断面;最后,利用IEEE-39节点系统标准算例进行仿真分析。结果表明,所提方法不依赖于人工经验,能够准确、有效地辨识系统的关键输电断面。

     

    Abstract: The weakness of large-scale interconnected power grids is reflected by the transmission sections, which is the key focus of power system operation and monitoring. In order to deal with the problem of accurate and reasonable identification of key transmission sections, a method based on improved vulnerable lines characterization was proposed. Firstly, an index for quantifying the vulnerability of the line was proposed based on the improved transmission betweenness, which combined the line betweenness and power transmission distribution factor. Then, the vulnerable lines were selected and contained in the expected fault branch set. Secondly, the k shortest paths algorithm was used to search the power flow transferred sections for each expected fault branch respectively, and the key transmission sections of the power system that constitutes the topological cut set were selected according to the line outage distribution factor. Finally, the simulation results of the IEEE-39 bus system show that the proposed method does not rely on artificial experience and can accurately and effectively identify the key transmission sections of the system.

     

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