基于证据推理的网络约简节点选择准则的建立
An Evidential Reasoning Based Approach to Building Node Selection Criterion for Network Reduction
摘要：
合理的节点选择准则是电力系统网络简化的关键。与以往只考虑结构特性的研究不同，本文提出了一种综合考虑结构和电学特性的NSC。建议NSC开发采用证据推理方法，其中准独热编码用于确定不同的标准或属性的评价等级。然后，通过多证据推理将不同的准则组合在一起。最后，效用评估是用来获得定量的NSC。此外，ER可以很容易地扩展到多个标准，同时考虑在评估过程中的不确定性。该方法与已有的模型降阶算法相结合，可以得到精度更高的降阶模型。30节点电网的案例研究证实了建议的NSC的实用性。
英文摘要：
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.
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