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Decision tree-based classification of multiple operating conditions for power system voltage stability assessment
International Journal of Electrical Power & Energy Systems ( IF 5.2 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.ijepes.2020.106251
Luigi Vanfretti , V.S. Narasimham Arava

Abstract This paper presents a method that performs classification of thousands of operating conditions w.r.t. power system voltage stability by using decision trees. The proposed method uses a new and flexible classification criterion that allows to identify operating conditions that are near or within the region for which the system is voltage unstable, and more importantly, that can consider operational requirements. The method creates both training and test data sets when building and validating the decision trees. To minimize computational burden, a sampling method is proposed, this method exploits the Saddle Node Bifurcation conditions to explore the operational space used to train the decision trees. Case studies were performed using the IEEE 9-bus system for several operating conditions and different network configurations. This paper also proposes the use of time domain simulations to assess the prediction accuracy of decision trees. Decision trees were created for network configurations involving outage of the line were tested on test sets and also using time domain simulations results from PSS/E. The ability to classify the degree of voltage stability of a multitude of operation conditions could be useful to aid operators in selecting and applying preventive measures to steer away the system from unstable conditions or conditions that are close to breaching operational requirements w.r.t. voltage stability.

中文翻译:

基于决策树的电力系统电压稳定性评估多工况分类

摘要 本文提出了一种利用决策树对电力系统电压稳定性进行数千种工况分类的方法。所提出的方法使用一种新的灵活的分类标准,允许识别系统电压不稳定区域附近或内部的操作条件,更重要的是,可以考虑操作要求。该方法在构建和验证决策树时创建训练和测试数据集。为了最小化计算负担,提出了一种采样方法,该方法利用鞍点分岔条件来探索用于训练决策树的操作空间。案例研究是使用 IEEE 9 总线系统针对多种操作条件和不同网络配置进行的。本文还提出使用时域模拟来评估决策树的预测精度。决策树是为涉及线路中断的网络配置创建的,并在测试集上进行测试,并使用来自 PSS/E 的时域模拟结果。对多种操作条件的电压稳定性程度进行分类的能力可能有助于帮助操作员选择和应用预防措施,使系统远离不稳定条件或接近违反电压稳定性操作要求的条件。决策树是为涉及线路中断的网络配置创建的,并在测试集上进行测试,并使用来自 PSS/E 的时域模拟结果。对多种操作条件的电压稳定性程度进行分类的能力可能有助于帮助操作员选择和应用预防措施,使系统远离不稳定条件或接近违反电压稳定性操作要求的条件。决策树是为涉及线路中断的网络配置创建的,并在测试集上进行测试,并使用来自 PSS/E 的时域模拟结果。对多种操作条件的电压稳定性程度进行分类的能力可能有助于帮助操作员选择和应用预防措施,使系统远离不稳定条件或接近违反电压稳定性操作要求的条件。
更新日期:2020-12-01
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