Data Mining in Electrical Distribution Networks: Optimal Location of Pilot Bus

Abstract

Pilot bus selection is a key parameter to the proper function of secondary voltage control strategies; this paper proposes a methodology for pilot bus selection using data mining algorithms K-means and DBSCAN. The data was generated by varying distribution network parameters and simulating the voltage profile using OpenDSS software. The methodology was implemented in IEEE 13 and 34 node test feeder standard distribution networks to illustrate the effectiveness of the proposed method.