Study of Voltage Partition Based on Spectral Coefficient Clustering Algorithm

被引：0

作者：

Dai, Fei ^{[1
]}

Xu, Jian ^{[1
]}

Huang, Lei ^{[1
]}

Sun, Yuanzhang ^{[1
]}

Peng, Xiaotao ^{[1
]}

Cui, Ting ^{[1
]}

机构：

[1] Wuhan Univ, Sch Elect Engn, Wuhan 430072, Peoples R China

来源：

POWER AND ENERGY ENGINEERING CONFERENCE 2010 | 2010年

关键词：

secondary voltage control; voltage partition; spectral coefficient; clustering algorithm;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Voltage Control Areas (VCAs) dividing is the basis of secondary voltage control, but the traditional methods have some disadvantages such as the complexity of calculation and determination of the number of VCAs. At first This paper proposes a voltage partition method based on spectral coefficient clustering algorithm in which the concept of average distance was used, and then with the application of some statistical indicators, the criteria for judging the best result of voltage partition was also introduced. At last a case study based on a practical system was provided to show its validity and reliability.

引用

页码：445 / 448

页数：4

共 13 条

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