TY - GEN
T1 - Method for determining line drop compensator parameters of low voltage regulator using support vector machine
AU - Kikusato, Hiroshi
AU - Takahashi, Naoyuki
AU - Yoshinaga, Jun
AU - Fujimoto, Yu
AU - Hayashi, Yasuhiro
AU - Kusagawa, Shinichi
AU - Motegi, Noriyuki
PY - 2014/1/1
Y1 - 2014/1/1
N2 - Highly accurate predictions of load demand and photovoltaic (PV) output have become possible in recent years because of improved measuring instruments and the increase of databases on load demand and PV output. The appropriate control parameters for actual power system operation can be determined by using these predictions. Although parameters determined by conventional methods are accurate, they may not be determined in time before the beginning of operation because extensive time is required for the calculations. In this paper, the support vector machine - a machine learning method that solves the two-class classification problem - is used to determine the line drop compensator (LDC) parameters instantly. To verify the validity of the proposed method, we carried out numerical simulations to determine the LDC parameters. From the simulated results, we found that the proposed method can instantly and accurately determine the LDC parameters.
AB - Highly accurate predictions of load demand and photovoltaic (PV) output have become possible in recent years because of improved measuring instruments and the increase of databases on load demand and PV output. The appropriate control parameters for actual power system operation can be determined by using these predictions. Although parameters determined by conventional methods are accurate, they may not be determined in time before the beginning of operation because extensive time is required for the calculations. In this paper, the support vector machine - a machine learning method that solves the two-class classification problem - is used to determine the line drop compensator (LDC) parameters instantly. To verify the validity of the proposed method, we carried out numerical simulations to determine the LDC parameters. From the simulated results, we found that the proposed method can instantly and accurately determine the LDC parameters.
KW - Distribution systems
KW - LDC method
KW - LVR
KW - SVM
KW - Voltage control
UR - http://www.scopus.com/inward/record.url?scp=84901946781&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84901946781&partnerID=8YFLogxK
U2 - 10.1109/ISGT.2014.6816413
DO - 10.1109/ISGT.2014.6816413
M3 - Conference contribution
AN - SCOPUS:84901946781
SN - 9781479936526
T3 - 2014 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014
BT - 2014 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014
PB - IEEE Computer Society
T2 - 2014 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2014
Y2 - 19 February 2014 through 22 February 2014
ER -
