Cluster Analysis of Power System Coherency

• Main Authors: Ying-Wang Chen, 陳應望
• Other Authors: Jung-Chien Li Pei-Hwa Huang
• Format: Others
• Language: zh-TW
• Published: 1995
• Online Access: http://ndltd.ncl.edu.tw/handle/35901276080079823297

碩士 === 國立海洋大學 === 電子工程學系 === 83 === With the increasing size of interconnected power systems,power system dynamics study has been becoming more complex. Methods of coherency-based dynamic equivalencing have been proposed to reduce the computational effort required in power system dynamics study. The key step in the construction of coherency-based dynamic equivalents is the identification of coherent generators. A useful application of fuzzy mathematics is the hierachical clustering whose correctness depends on the computation of the fuzzy transitive closure. The objective of this thesis is to develop an efficient hierarchical clustering method suitable for the identification of coherent generators in power systems. This method is based on the concept of similarity relation and the technique of hierarchical cluster analysis.This hierarchical structure depicts the generator clustering at different level of coherency, and from which appropriate number of coherent groups can be determined according to the need for reduction in model complexity.