基于SAGA聚类分析的无功电压控制分区

陶志东; 丁晓群; 邓吉祥; 何健

陶志东,丁晓群,邓吉祥,何健.基于SAGA聚类分析的无功电压控制分区[J].电测与仪表,2015,52(8):.
TAO Zhi-dong,DING Xiao-qun,DENG Ji-xiang,He Jian.Reactive power and voltage control based on cluster analysis partition SAGA[J].Electrical Measurement & Instrumentation,2015,52(8):.

基于SAGA聚类分析的无功电压控制分区

Reactive power and voltage control based on cluster analysis partition SAGA

DOI：

中文关键词: VCA 满维灵敏度矩阵空间电气距离 SAGA 模糊C-均值聚类

英文关键词:VCA Full-dimensional sensitivity matrix,spatial electrical distance,SAGA,Fuzzy C-Means Clustering

基金项目:

作者中文名	作者英文名	单位
陶志东	TAO Zhi-dong	河海大学能源与电气学院
丁晓群	DING Xiao-qun	河海大学能源与电气学院
邓吉祥	DENG Ji-xiang	河海大学能源与电气学院
何健	He Jian	河海大学能源与电气学院

摘要点击次数: 2248

中文摘要:

无功电压控制分区(VCA)可描述成一种空间聚类问题。本文基于SAGA的聚类方法,首先利用包含系统所有节点的满维灵敏度矩阵,计算出各节点间的空间电气距离,构造多维空间的数据集,将SA和GA算法的优点融合到模糊C-均值聚类算法中,一次性对系统各节点进行分区。对IEEE39节点系统进行归类,验证该方法的有用性、可靠性。

英文摘要:

Reactive power and voltage control partition (VCA) can be described as a spatial clustering problems. Based on clustering method SAGA, the first to use the full dimension of the sensitivity matrix contains all nodes in the system to calculate the spatial electrical distance, multi-dimensional space constructed data set between nodes, the advantages of integration into the SA and GA fuzzy C-means clustering class algorithms, one for each node in the system partition. On IEEE39 node system to classify, validate the usefulness of the method, and reliability.

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