Method for determining line drop compensator parameters of low voltage regulator using support vector machine

Hiroshi Kikusato, Naoyuki Takahashi, Jun Yoshinaga, Yu Fujimoto, Yasuhiro Hayashi, Shinichi Kusagawa, Noriyuki Motegi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2014 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014
PublisherIEEE Computer Society
ISBN (Print)9781479936526
DOIs
Publication statusPublished - 2014 Jan 1
Event2014 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2014 - Washington, DC, United States
Duration: 2014 Feb 192014 Feb 22

Publication series

Name2014 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014

Conference

Conference2014 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2014
CountryUnited States
CityWashington, DC
Period14/2/1914/2/22

Keywords

  • Distribution systems
  • LDC method
  • LVR
  • SVM
  • Voltage control

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications

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  • Cite this

    Kikusato, H., Takahashi, N., Yoshinaga, J., Fujimoto, Y., Hayashi, Y., Kusagawa, S., & Motegi, N. (2014). Method for determining line drop compensator parameters of low voltage regulator using support vector machine. In 2014 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014 [6816413] (2014 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014). IEEE Computer Society. https://doi.org/10.1109/ISGT.2014.6816413