Pattern aggregation of wind energy conversion technologies using clustering analysis

Fernandes, Paula Odete; Ferreira, Ângela P.

http://hdl.handle.net/10198/15457

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Authors

Fernandes, Paula Odete

Ferreira, Ângela P.

Abstract(s)

The main objective of this research is the identification of homogeneous groups within a set of wind farms of a major wind energy promoter in Portugal, based on two multivariate analyses: Hierarchical Cluster Analysis and K-means Clustering, using two independent variables, capacity factor and net production, both per year. K-means Clustering output provides the same results as the Hierarchical Cluster Analysis. Outputs allowed the identification of three homogenous groups of wind farms: (1) medium installed capacity and asynchronous generator based technologies, (2) high installed capacity and direct driven synchronous generator based technology and (3) low installed capacity with no differentiation on the technology concept, but including the wind farms with the higher capacity factors.

Keywords

Hierarchical Cluster Analysis K-means Clustering Wind farms Wind turbine generators

URI

http://hdl.handle.net/10198/15457

Citation

Fernandes, Paula Odete; Ferreira, Ângela Paula (2014). Pattern aggregation of wind energy conversion technologies using clustering analysis. In Proceedings - 14th International Conference on Computational Science and Its Applications, ICCSA 2014. p. 105-110. ISBN 978-1479942640