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

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

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 volta...

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Bibliographic Details
Published in:2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM) pp. 1 - 5
Main Authors: Ernesto Jaramillo, Z., Castro, Jose Raul, Castillo, Tuesman, Reategui, Ruth
Format: Conference Proceeding
Language:English
Published: IEEE 12-10-2021
Subjects:
Cluster Analysis
Clustering algorithms
Data mining
Distribution network
Distribution networks
Knowledge engineering
Mathematical models
Pilot bus
Software
Software algorithms
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Summary: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.
DOI:10.1109/ETCM53643.2021.9590646