基于多属性决策的电力网络关键节点识别

Critical Node Identification of a Power Grid Based on Multi-Attribute Decision

结合电力网络的拓扑结构与电气特性,提出一种综合多属性的电网关键节点识别方法。从复杂网络理论出发,首先根据电网的拓扑与电气特性提出了多种评估指标得到评价矩阵,然后结合层次分析法和变异系数法对其赋权得到最终的决策矩阵,最后采用与灰色关联度相结合的TOPSIS方法,计算出电网中节点的重要度排序。为了比较不同识别方法的优劣,采用网络效能和动力学同步性能进行验证,并用实际电网进一步验证了所提方法的有效性。

Combined with the topological characteristics and electrical characteristics,this paper proposes an integrated multi-attribute decision method for identifying key nodes in a power grid.Firstly,based on the complex network theory,several evaluation indicators are proposed and calculated considering the topology characteristics and the electrical characteristics of a power grid,an evaluation matrix is obtained.Then the final decision matrix is obtained by weighting the evaluation matrix combined with the analytic hierarchy process and the coefficient of variation method.Finally,the TOPSIS method combined with grey correlation degree is used to calculate the ranking of the important nodes in the power grid.In order to compare the advantages and disadvantages of different identification methods,the network efficiency and synchronization performance are adopted.An actual local power grid is used to further verify the effectiveness a feasibility of the proposed method.