论文标题
基于证据推理的方法，用于构建节点选择标准以减少网络
An Evidential Reasoning Based Approach to Building Node Selection Criterion for Network Reduction
论文作者
论文摘要
合理的节点选择标准（NSC）对于降低电力系统的网络至关重要。与仅考虑结构特性的先前作品相反，本文提出了考虑结构和电气性能的全面和定量的NSC。提出的NSC是通过采用证据推理方法来开发的，在该方法中，将准式式编码用于确定不同标准或属性的评估等级。然后，通过多个证据推理将不同的标准组合在一起。最终，实用程序评估用于得出定量NSC。此外，在同时考虑评估过程中的不确定性的同时，可以轻松地扩展到多个标准。可以通过将提出的NSC与现有模型还原算法相结合来构建具有更高精度的降低模型。关于30节点功率电网的案例研究证实了所提出的NSC的实用性。
A reasonable node selection criterion (NSC) is crucial for the network reduction in power systems. In contrast to the previous works that only consider structure property, this paper proposes a comprehensive and quantitative NSC considering both structural and electrical properties. The proposed NSC is developed by employing the evidential reasoning approach, in which the quasi-one-hot encoding is used to determine the evaluation grades of different criteria or attributes. Then, different criteria are combined through the multi-evidence reasoning. Eventually, the utility evaluation is used to derive the quantitative NSC. Besides, the ER can be readily extended to multiple criteria while considering the uncertainty in the evaluation process simultaneously. The reduced models with higher accuracy can be built by combining the proposed NSC with the existing model reduction algorithms. The case studies on a 30-node power grid substantiate the practicality of the proposed NSC.
