Development of Equivalent Dynamic Model of Distribution Network Using Clustering Procedure

Abstract

This paper presents the development of a dynamic equivalent model for a Distribution Network Cell (DNC) based on the UK 11kV distribution system. In a new and innovative approach, the methodology utilises the k-means clustering procedure to approximate the input and output dynamic responses of the network. By grouping together similar dynamic responses, the developed methodology is able to significantly reduce the computation time required to approximate the dynamic response of the network. The accuracy of the procedure is quantified by analysing the deviation of the true response from the approximated cluster centre. The computational efficiency of the approach is compared against parameter estimation without clustering, and the resulting approximation errors and computational improvements highlighted.

Cite this paper

@inproceedings{Zali2011DevelopmentOE, title={Development of Equivalent Dynamic Model of Distribution Network Using Clustering Procedure}, author={Samila Mat Zali and N. C. Woolley and Jovica V Milanovi{\'c}}, year={2011} }