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A Constraint-Based Clustering Method for Automatic Voltage Control Soft Partitioning and Partition Result Evaluation

机译:基于约束的自动电压控制软分区和分区结果评估的聚类方法

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In order to better meet the requirements of automatic voltage control, this study proposes a constraint-based clustering method for power grid soft partitioning. By pre-setting boundary conditions into the clustering algorithm, this method solves the problems that exist in the traditional method, in which one needs to artificially determine the number of partitions and a whole partition contains isolated bus only. Next, the study proposes a method to further improve the partition result by regulating the few unreasonable buses. Then, this study proposes a partition result evaluating method based on electrical gravitation. This evaluating method provides a reliable basis for verifying whether the boundary conditions are reasonable and distinguishing the merits of different partitioning methods. At last, the partition result of this study method is compared with the existing method. The comparison results show that this study method can better meet the requirement of automatic voltage control.
机译:为了更好地满足自动电压控制的要求,本研究提出了一种基于约束的电网软分区聚类方法。通过将边界条件预先设置到聚类算法中,该方法解决了传统方法中存在的问题,该方法需要人为地确定分区的数量,而整个分区仅包含隔离的总线。接下来,研究提出了一种通过调节少量不合理的公交车来进一步改善分区结果的方法。然后,本文提出了一种基于电引力的分区结果评估方法。该评估方法为验证边界条件是否合理以及区分不同划分方法的优劣提供了可靠的依据。最后,将该研究方法的划分结果与现有方法进行了比较。比较结果表明,该研究方法可以较好地满足自动电压控制的要求。

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