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文章摘要
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
Received:April 03, 2014  Revised:April 30, 2014
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:
Author NameAffiliationE-mail
TAO Zhi-dong* College of Energy and Electrical Engineering,Hohai University 925272902@qq.com 
DING Xiao-qun College of Energy and Electrical Engineering,Hohai University  
DENG Ji-xiang College of Energy and Electrical Engineering,Hohai University  
He Jian College of Energy and Electrical Engineering,Hohai University  
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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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