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基于潮流相关性网络的电网脆弱线路识别

范文礼 叶雨润 李全优 肖烨琦 熊力颖 何晓凤

范文礼, 叶雨润, 李全优, 肖烨琦, 熊力颖, 何晓凤. 基于潮流相关性网络的电网脆弱线路识别[J]. 西南交通大学学报, 2024, 59(5): 1006-1013. doi: 10.3969/j.issn.0258-2724.20210535
引用本文: 范文礼, 叶雨润, 李全优, 肖烨琦, 熊力颖, 何晓凤. 基于潮流相关性网络的电网脆弱线路识别[J]. 西南交通大学学报, 2024, 59(5): 1006-1013. doi: 10.3969/j.issn.0258-2724.20210535
FAN Wenli, YE Yurun, LI Quanyou, XIAO Yeqi, XIONG Liying, HE Xiaofeng. Identification of Vulnerable Lines in Power Grid Based on Power Flow Correlation Network[J]. Journal of Southwest Jiaotong University, 2024, 59(5): 1006-1013. doi: 10.3969/j.issn.0258-2724.20210535
Citation: FAN Wenli, YE Yurun, LI Quanyou, XIAO Yeqi, XIONG Liying, HE Xiaofeng. Identification of Vulnerable Lines in Power Grid Based on Power Flow Correlation Network[J]. Journal of Southwest Jiaotong University, 2024, 59(5): 1006-1013. doi: 10.3969/j.issn.0258-2724.20210535

基于潮流相关性网络的电网脆弱线路识别

doi: 10.3969/j.issn.0258-2724.20210535
基金项目: 教育部人文社会科学研究青年基金项目(18YJCZH028,20XJCZH004)
详细信息
    作者简介:

    范文礼(1980—),男,讲师,博士,研究方向为电力系统安全性,E-mail:fanwenlihp@163.com

  • 中图分类号: TM73

Identification of Vulnerable Lines in Power Grid Based on Power Flow Correlation Network

  • 摘要:

    国内外大停电事故表明,电力系统中的脆弱线路会带来极大的运行风险,直接导致系统安全性下降. 鉴于此,本文根据二级连锁故障发生时有功潮流的转移特征进行电力系统脆弱线路识别. 首先,从系统运行角度,以电力系统发生二级连锁故障时有功潮流的转移量为系统线路间关系进行赋权,并构建双向加权潮流相关性网络;随后,为量化线路在连锁故障中的脆弱性,提出一种基于改进E指数的脆弱线路识别方法. 研究表明:针对IEEE-39节点系统,依据本文方法识别结果中前8条脆弱线路的平均风险价值指数和平均条件风险价值指数分别为3453.73 MW与187.82 MW,远高于其他方法所得结果;静态蓄意攻击后所得的系统剩余负荷率仅为43.4%,系统子电气岛数量快速增长.

     

  • 图 1  双向加权潮流相关性网络

    Figure 1.  Bidirectional weighted power flow correlation network

    图 2  潮流相关性网络映射流程

    Figure 2.  Mapping process of power flow correlation network

    图 3  IEEE-39节点系统

    Figure 3.  IEEE-39 bus system

    图 4  不同隐性故障概率下蓄意攻击后系统剩余负荷率变化

    Figure 4.  Variation in residual load rates of system after intentional attacks under different hidden failure probabilities

    图 5  不同方法下蓄意攻击后的系统剩余负荷率变化

    Figure 5.  Variation in residual load rates of system after intentional attacks with different methods

    图 6  不同方法下蓄意攻击后的系统电气孤岛数量变化

    Figure 6.  Number of power islands in system after intentional attacks with different methods

    表  1  不同隐性故障概率下的脆弱线路排序

    Table  1.   Vulnerable line ranking under different hidden failure probabilities

    Pf =0.0020 Pf =0.0050 Pf =0.0100
    线路 剩余负荷率 线路 剩余负荷率 线路 剩余负荷率
    L37 1.00000 L34 1.00000 L34 1.00000
    L20 0.95216 L33 0.99245 L38 1.00000
    L39 0.85942 L39 0.89971 L33 0.99245
    L33 0.75517 L35 0.89971 L39 0.89971
    L34 0.67394 L20 0.78379 L14 0.79774
    L38 0.67394 L37 0.67394 L20 0.68182
    L14 0.57165 L14 0.57165 L37 0.57198
    L41 0.48147 L38 0.54903 L35 0.54936
    L46 0.34316 L46 0.43334 L46 0.43367
    L27 0.30590 L10 0.43334 L27 0.38465
    下载: 导出CSV

    表  2  不同方法的脆弱线路的风险价值比较

    Table  2.   Comparison of values at risk of vulnerable lines with different methods

    攻击
    序列
    E-im Pf = 0.008) E 指数 VG CEI MF
    线路 $ {{ \overline V_{\mathrm{aR}}}} $ ${{ \overline C_{\mathrm{VaR}}}} $ 线路 $ {{\overline V_{\mathrm{aR}}}} $ ${{ \overline C_{\mathrm{VaR}}}} $ 线路 ${{ \overline V_{\mathrm{aR}}}} $ $ {{\overline C_{\mathrm{VaR}}}} $ 线路 $ {{ \overline V_{\mathrm{aR}}}} $ ${{ \overline C_{\mathrm{VaR}}}} $ 线路 ${{ \overline V_{\mathrm{aR}}}} $ $ {{\overline C_{\mathrm{VaR}}}} $
    1 L34 3453.73 187.82 L41 3214.74 181.27 L10 2977.26 169.02 L35 3421.79 186.57 L26 3223.94 170.71
    2 L33 L28 L25 L14 L37
    3 L39 L29 L1 L23 L30
    4 L14 L25 L3 L20 L33
    5 L35 L38 L9 L37 L29
    6 L20 L35 L40 L33 L38
    7 L37 L43 L11 L13 L27
    8 L46 L45 L4 L19 L7
    下载: 导出CSV
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出版历程
  • 收稿日期:  2021-06-30
  • 修回日期:  2022-03-03
  • 网络出版日期:  2024-06-17
  • 刊出日期:  2022-04-27

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