电力系统连锁故障快速风险评估模型研究

The Research on Rapid Risk Assessment Model of Power System Cascading Failure

  • 摘要: 为了提高电力系统连锁故障风险评估的快速性,解决现有模型难以实现在线应用的问题,提出了一种基于危险支路集的快速评估模型。该模型利用双向搜索算法搜索出开断支路两端点间的前K则最短路径,以确定支路开断后潮流转移的范围;综合考虑支路潮流增量、潮流越限程度两方面因素定义了危险支路判据,以便在前K则最短路径的基础上快速识别易引起连锁故障的支路,确定下一步安全分析的对象。通过上述两步骤缩小了每一故障环节的安全分析范围,提高了整体的风险评估速度。IEEE 39节点系统的仿真实例证明该模型具有较快的风险评估速度以及较高的评估精度,易于实现在线应用。

     

    Abstract: To improve the speed of risk assessment model of power system cascading failure and solve the difficult problem of on-line application, a rapid risk assessment model based on dangerous branches set is proposed in this paper. The first K shortest paths between two endpoints are searched by using bidirectional search algorithm, which can determine the flow transfer range after branch outages. The criterion of dangerous branches is defined by considering the influence of branch flow increment and flow over-limit degree, so the branch that causes cascading failure can be recognized rapidly by the first K shortest paths and the next safety analysis object can be determined. The range of safety analysis can be reduced by above two steps, which improves the risk assessment speed. The simulation on IEEE 39 system proves that the model has faster risk assessment speed and higher assessment accuracy, which is easy to realize on-line application.

     

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