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电力系统脆弱线路辨识研究现状

刘志刚 张乔 何晓凤 范文礼

刘志刚, 张乔, 何晓凤, 范文礼. 电力系统脆弱线路辨识研究现状[J]. 西南交通大学学报, 2021, 56(4): 673-688. doi: 10.3969/j.issn.0258-2724.20200717
引用本文: 刘志刚, 张乔, 何晓凤, 范文礼. 电力系统脆弱线路辨识研究现状[J]. 西南交通大学学报, 2021, 56(4): 673-688. doi: 10.3969/j.issn.0258-2724.20200717
LIU Zhigang, ZHANG Qiao, HE Xiaofeng, FAN Wenli. A Review of Vulnerable Line Identification in Power Systems[J]. Journal of Southwest Jiaotong University, 2021, 56(4): 673-688. doi: 10.3969/j.issn.0258-2724.20200717
Citation: LIU Zhigang, ZHANG Qiao, HE Xiaofeng, FAN Wenli. A Review of Vulnerable Line Identification in Power Systems[J]. Journal of Southwest Jiaotong University, 2021, 56(4): 673-688. doi: 10.3969/j.issn.0258-2724.20200717

电力系统脆弱线路辨识研究现状

doi: 10.3969/j.issn.0258-2724.20200717
基金项目: 教育部人文社会科学研究青年基金(18YJCZH028);中央高校基本科研业务费专项资金(A0920502052001-1);成都市软科学研究项目(2020-RK00-00367-ZF)
详细信息
    作者简介:

    刘志刚(1975—),男,教授,博士,研究方向为电力系统及其自动化,E-mail:liuzg_cd@126.com

  • 中图分类号: TM73

A Review of Vulnerable Line Identification in Power Systems

  • 摘要: 随着电网进一步互联互通,大停电事故波及的范围越来越大. 电力系统脆弱线路的辨识对预防连锁故障发生、保障系统安全稳定运行具有重要的理论和现实意义. 为此,综述了目前电力系统脆弱线路辨识的研究方法. 将近年来电力系统脆弱辨识方法的相关研究成果分为两大类:第一类基于电力系统状态分析,以潮流计算和电网动态特性为核心,介绍了熵理论法、连锁故障模拟法、风险评估法、能量函数法和强化学习法5种方法在电力系统脆弱线路辨识中的应用;第二类以复杂网络理论为背景,详细归纳了改进介数法、最大流理论法和对偶图法在电力系统脆弱线路辨识中的应用. 然后分析了现有方法具有兼顾系统结构和状态、考虑系统静动态特性的优点,以及缺乏考虑源荷不确定性,仅仅考虑单一线路脆弱性的不足. 最后,结合电力系统发展需求,提出了考虑新能源并网、移动冲击负荷接入、基于数据驱动以及组合脆弱线路辨识为下一步的主要研究方向.

     

  • 图 1  连锁故障发展过程

    Figure 1.  Development of cascading failure

    图 2  脆弱线路辨识方法分类

    Figure 2.  Classification of vulnerable line identification methods

    图 3  对偶图建立过程示意

    Figure 3.  Schematic of dual graph establishment process

    图 4  新能源接入电网示意

    Figure 4.  Schematic of new energy integrated to power grid

    图 5  移动冲击负荷接入电网示意

    Figure 5.  Schematic of mobile shock load accessing power grid

    表  1  不同辨识方法的主要优缺点比较

    Table  1.   Comparison of main advantages and disadvantages of different identification methods

    方法优点缺点
    电力系统
    状态分析
    熵理论法  整体考虑了系统能量平衡与能量的转移  对电网整体的结构脆弱性考虑不足
    能量函数法 考虑了能量与电压对系统稳定性的影响,考虑了电力系统静态和暂态过程   对电网整体的结构脆弱性考虑不足,时间复杂度高
    连锁故障模拟法  充分考虑了连锁故障传播的动态机制,运用了静态安全域理论,考虑了负荷的动态特性及电压稳定性  计算的时间成本高,效率相对较低
    风险评估法  可以根据自身区域电网特性选取指标因素,考虑天气、负荷水平等不确定因素,与实际运行经验相符  需要系统运行的历史数据
    强化学习法  思路新颖,是人工智能在电力系统中的应用,可以离线学习,在线应用,计算效率高  欠缺对电网整体结构脆弱性的考虑
    复杂网络理论 介数法  充分将电力网络的结构和状态结合起来,考虑线路的容量约束  对电力系统动态特性考虑不足
    最大流理论  考虑线路容量约束,量化了线路传输潮流的贡献度  对电力系统动态特性考虑不足
    对偶图法  将脆弱线路的识别转化为脆弱节点的识别,可同时计及系统结构特性和运行状态特性,计算效率高,速度快  需要额外建立衍生网络,增加了辨识步骤,考虑因素单一
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  • 收稿日期:  2020-10-22
  • 修回日期:  2020-12-28
  • 网络出版日期:  2021-03-03
  • 刊出日期:  2021-08-15

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