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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.
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