基于熵权-层次分析法综合指标的电网关键节点辨识

电网关键节点的辨识是目前电力系统安全稳定运行的重要指导内容之一。为科学合理辨识电网关键节点,文中首先计及电网线路负载率等级,基于泰尔熵理论考虑潮流变化的分布不均衡性,提出节点状态关键度指标;然后为使评估结果更符合复杂网络与实际电网结构模型,文中提出最大流传输贡献介数和接近中心性指标;最后结合熵权法和层次分析法对指标进行权重分配,得到既兼顾电网状态变化和电网结构,又结合主观经验并考虑客观数据的关键节点评估综合指标,从而准确辨识电网关键节点。通过IEEE 39节点系统进行测试,验证综合指标的可行性和实用性。

Key nodes identification in power grid based on comprehensive index calculated by the En-tropy Weight-Analytical Hierarchy Process

Considering the load rate grade of power grid lines, and considering the unbalanced distribution of power flow changes based on Theil Entropy Theory, this paper proposes state importance index of nodes. In order to make the evaluation results more consistent with the complex network and the actual grid structure model, this paper proposes maximum flow contribution betweenness and closeness index. This paper combines the entropy weight method and the analytic hierarchy process to distribute the weight of the index , and obtains the comprehensive evaluation index of the key nodes, which not only takes into account the changes of the power grid state and the power grid structure, but also takes into account the subjective experience and objective data, so as to identify the key nodes of the power grid ac-curately. In this paper, the feasibility and practicability of the comprehensive index are verified by testing the IEEE-39 bus system.