基于脆弱性评估与谱聚类电网分区的关联输电断面辨识方法

A Correlation Transmission Section Identification Method Based on Vulnerability Assessment and Spectral Clustering Power Grid Zoning

中文关键词:关联输电断面辨识  多维度脆弱性评估  改进传输介数  谱聚类电网分区

keywords:identification of related transmission sections  multi-dimensional vulnerability assessment  improved transmission intermediary  spectral power grid clustering

中文摘要:关联输电断面作为电力系统调度与监控的核心对象，其精准识别对保障系统安全稳定运行至关重要。提出一种融合脆弱性评估与谱聚类电网分区的关联输电断面识别方法，从元件脆弱性与系统结构特性双维度提升识别效能。首先，构建涵盖复杂图论边界数、改进传输介数及潮流转移熵的综合脆弱性指标体系，既全面表征线路拓扑重要性，又精准刻画其动态响应特性；其次，采用谱聚类递归算法完成电网分区，系统生成区域间输电断面候选集；最后，通过多指标综合评价模型筛选并确定核心关联输电断面。IEEE 39 节点系统仿真结果验证，该方法在输电断面识别精度、抗干扰能力及系统适应性方面均表现出显著优势，为电力系统调度决策提供了可靠的技术支撑。

Abstract:Correlated transmission sections are core objects for power system dispatching and monitoring， and their accurate identification is crucial for ensuring the safe and stable operation of the system. This study proposes a correlated transmission section identification method that integrates vulnerability assessment and spectral clustering-based power grid partitioning， enhancing identification efficiency from the dual dimensions of component vulnerability and system structural characteristics. First， a comprehensive vulnerability index system is constructed， covering the number of complex graph theory boundaries， improved transmission betweenness， and power flow transfer entropy. This system not only fully characterizes the topological importance of lines but also accurately depicts their dynamic response characteristics. Second， a spectral clustering recursive algorithm is used to complete power grid partitioning， systematically generating a candidate set of inter-regional transmission sections. Finally， a multi-index comprehensive evaluation model is employed to screen and determine the core correlated transmission sections. Simulation results on the IEEE 39-bus system verify that the proposed method exhibits significant advantages in transmission section identification accuracy， anti-interference capability， and system adaptability， providing reliable technical support for power system dispatching decisions.