Title :
A data mining technique for three-phase distribution network voltage control
Author :
Mori, Hiroyuki ; Shimomugi, Kojiro ; Umezawa, Yasushi
Author_Institution :
Dept. of Electron. & Bioinf., Meiji Univ., Kawasaki
Abstract :
In this paper, a data mining technique is proposed for distribution network voltage regulation. The proposed method efficiently extracts rules for dealing with three-phase distribution network loss minimization. Distribution companies are concerned with the network operation to make a profit under competitive environment. From a standpoint of power quality, the mathematical formulation of distribution network voltage control is hard to solve due to the complexity. In that sense, distribution operators do not understand the problem features well. This paper presents a regression-tree-based method that clarifies the nonlinear relationship between control variables and the network loss in a distribution network. A regression tree is constructed to find out rules in a distribution network voltage regulation. The proposed method is successfully applied to the IEEE 34-node system.
Keywords :
control engineering computing; data mining; power distribution control; power supply quality; regression analysis; trees (mathematics); voltage control; IEEE 34-node system; data mining technique; power quality; regression-tree-based method; three-phase distribution network; voltage control; Capacitors; Data mining; Data visualization; Decision trees; Load flow; Machine learning; Regression tree analysis; Regulators; Visual databases; Voltage control; Data Mining; Distribution Network; Voltage Control;
Conference_Titel :
Transmission and Distribution Conference and Exposition, 2008. T&D. IEEE/PES
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-1903-6
Electronic_ISBN :
978-1-4244-1904-3
DOI :
10.1109/TDC.2008.4517113
