Cluster Analysis for Long-Term Power Quality Data in Mining Electrical Power Network

This paper presents the results of using data mining for analysis of long-term power quality (PQ) data recorded in a supply power network of the mining industry. The analyzed network is characterized by prominent load variation caused by welding machines, conveyor belts and drainage pumps. Additionally, a distributed generation (DG, DER) is installed in the network represented by combined heat and power plant (CHP) and steam-gas generation units. In order to explore the PQ data, a cluster analysis (CA) is proposed a prominent representative of data mining (DM). Obtained results allow to indicate CA as a proper method for automatic identification of voltage event that is valuable for flagging concept as well as identification of periods of time when the network reveals different working conditions. It allows finally to investigate and compare the influence of distributed generation on electric power network of the mining industry.

[1]  Mehdi Moallem,et al.  A data mining method for obtaining global power quality index , 2011, 2011 2nd International Conference on Electric Power and Energy Conversion Systems (EPECS).

[2]  G. N. Lance,et al.  A General Theory of Classificatory Sorting Strategies: 1. Hierarchical Systems , 1967, Comput. J..

[3]  T. Pinto,et al.  Data mining applications in power systems — Case-studies and future trends , 2009, 2009 Transmission & Distribution Conference & Exposition: Asia and Pacific.

[4]  H. Mori.  State-of-the-Art Overview on Data Mining in Power Systems , 2006, 2006 IEEE PES Power Systems Conference and Exposition.

[5]  Mennan Güder,et al.  Data Mining Framework for Power Quality Event Characterization of Iron and Steel Plants , 2015, IEEE Transactions on Industry Applications.

[6]  Tomasz Sikorski,et al.  Cluster analisis of long-term power quality data , 2016, 2016 Electric Power Networks (EPNet).

[7]  Aldebaro Klautau,et al.  An Overview of Data Mining Techniques Applied to Power Systems , 2009 .

[8]  Chao Xie,et al.  The data mining application in the power quality monitoring data analysis , 2016, 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA).

[9]  Avinash L. Golande,et al.  An Approach to Clustering of Power Quality Events Data , 2012 .

[10]  Heikki Mannila,et al.  Principles of Data Mining , 2001, Undergraduate Topics in Computer Science.