Abstract：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.
何铭, 邹艳丽, 梁明月, 李志慧, 高正. 基于多属性决策的电力网络关键节点识别[J]. 复杂系统与复杂性科学, 2020, 17(3): 27-37.
HE Ming, ZOU Yanli, LIANG Mingyue, LI Zhihui, GAO Zheng. Critical Node Identification of a Power Grid Based on Multi-Attribute Decision[J]. Complex Systems and Complexity Science, 2020, 17(3): 27-37.
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