Generators coherency identification using relative correlation based clustering
Generators coherency identification using relative correlation based clustering
复制标题
使用基于相对相关性的聚类进行生成器一致性识别
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Zoupash Zahra
中科院分区：
文献类型：
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作者：
H. Banna;Talha Iqbal;Ayesha Khan;Zoupash Zahra
发电机同调的确定是实现发电机动态等值和可控孤岛运行的重要环节。本文提出了一种基于相对相关的发电机同调量在线确定方法。然后使用相干组间距离作为索引来找到最佳的聚类数。通过IEEE 39节点系统验证了该方法的有效性。
Generator coherency determination is the most important step for dynamic equivalency and controlled islanding operation. This paper presents a relative correlation-based methodology for online generator coherency determination using PMU data. Inter-coherent group distance is then used as an index to find the optimal number of clusters. The presented approach is authenticated using IEEE 39-bus system, through which applicability of the approach is demonstrated.