Method for instantly determining line drop compensator parameters of low-voltage regulator using multiple classifiers

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

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

Abstract

A complicated voltage fluctuation in distribution systems and a decline in power quality occur when a large number of photovoltaic (PV) systems are installed. In this paper, the installation of a low-voltage regulator is assumed, and a method for instantly and accurately determining the line drop compensator (LDC) parameters is proposed to perform efficient voltage management, which consists of prediction, operation, and control. In the proposed method, the computational cost to derive the LDC parameters can be reduced by learning the optimality of the parameters in a series of load demands and the PV output using multiple classifiers. We performed numerical simulations to verify the validity of the proposed method. From the results, the classification accuracy is found to improve by considering the majority vote of multiple classifiers. Additionally, the improvement in the voltage control performance is verified.

Original languageEnglish
Title of host publicationIEEE PES Innovative Smart Grid Technologies Conference Europe
PublisherIEEE Computer Society
Volume2015-January
EditionJanuary
DOIs
Publication statusPublished - 2015 Jan 30
Event2014 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2014 - Istanbul, Turkey
Duration: 2014 Oct 122014 Oct 15

Other

Other2014 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2014
CountryTurkey
CityIstanbul
Period14/10/1214/10/15

Fingerprint

Voltage regulators
Classifiers
Electric potential
Power quality
Voltage control
Computer simulation
Costs

Keywords

  • Distribution system
  • K-nearest-neighbor algorithm
  • LVR
  • Random forests
  • Support vector machine

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Cite this

Kikusato, H., Takahashi, N., Yoshinaga, J., Fujimoto, Y., Hayashi, Y., Kusagawa, S., & Motegi, N. (2015). Method for instantly determining line drop compensator parameters of low-voltage regulator using multiple classifiers. In IEEE PES Innovative Smart Grid Technologies Conference Europe (January ed., Vol. 2015-January). [7028851] IEEE Computer Society. https://doi.org/10.1109/ISGTEurope.2014.7028851

Method for instantly determining line drop compensator parameters of low-voltage regulator using multiple classifiers. / Kikusato, Hiroshi; Takahashi, Naoyuki; Yoshinaga, Jun; Fujimoto, Yu; Hayashi, Yasuhiro; Kusagawa, Shinichi; Motegi, Noriyuki.

IEEE PES Innovative Smart Grid Technologies Conference Europe. Vol. 2015-January January. ed. IEEE Computer Society, 2015. 7028851.

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

Kikusato, H, Takahashi, N, Yoshinaga, J, Fujimoto, Y, Hayashi, Y, Kusagawa, S & Motegi, N 2015, Method for instantly determining line drop compensator parameters of low-voltage regulator using multiple classifiers. in IEEE PES Innovative Smart Grid Technologies Conference Europe. January edn, vol. 2015-January, 7028851, IEEE Computer Society, 2014 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2014, Istanbul, Turkey, 14/10/12. https://doi.org/10.1109/ISGTEurope.2014.7028851
Kikusato H, Takahashi N, Yoshinaga J, Fujimoto Y, Hayashi Y, Kusagawa S et al. Method for instantly determining line drop compensator parameters of low-voltage regulator using multiple classifiers. In IEEE PES Innovative Smart Grid Technologies Conference Europe. January ed. Vol. 2015-January. IEEE Computer Society. 2015. 7028851 https://doi.org/10.1109/ISGTEurope.2014.7028851
Kikusato, Hiroshi ; Takahashi, Naoyuki ; Yoshinaga, Jun ; Fujimoto, Yu ; Hayashi, Yasuhiro ; Kusagawa, Shinichi ; Motegi, Noriyuki. / Method for instantly determining line drop compensator parameters of low-voltage regulator using multiple classifiers. IEEE PES Innovative Smart Grid Technologies Conference Europe. Vol. 2015-January January. ed. IEEE Computer Society, 2015.
@inproceedings{ceae607475f94c55a4c7f8734f3df9e8,
title = "Method for instantly determining line drop compensator parameters of low-voltage regulator using multiple classifiers",
abstract = "A complicated voltage fluctuation in distribution systems and a decline in power quality occur when a large number of photovoltaic (PV) systems are installed. In this paper, the installation of a low-voltage regulator is assumed, and a method for instantly and accurately determining the line drop compensator (LDC) parameters is proposed to perform efficient voltage management, which consists of prediction, operation, and control. In the proposed method, the computational cost to derive the LDC parameters can be reduced by learning the optimality of the parameters in a series of load demands and the PV output using multiple classifiers. We performed numerical simulations to verify the validity of the proposed method. From the results, the classification accuracy is found to improve by considering the majority vote of multiple classifiers. Additionally, the improvement in the voltage control performance is verified.",
keywords = "Distribution system, K-nearest-neighbor algorithm, LVR, Random forests, Support vector machine",
author = "Hiroshi Kikusato and Naoyuki Takahashi and Jun Yoshinaga and Yu Fujimoto and Yasuhiro Hayashi and Shinichi Kusagawa and Noriyuki Motegi",
year = "2015",
month = "1",
day = "30",
doi = "10.1109/ISGTEurope.2014.7028851",
language = "English",
volume = "2015-January",
booktitle = "IEEE PES Innovative Smart Grid Technologies Conference Europe",
publisher = "IEEE Computer Society",
edition = "January",

}

TY - GEN

T1 - Method for instantly determining line drop compensator parameters of low-voltage regulator using multiple classifiers

AU - Kikusato, Hiroshi

AU - Takahashi, Naoyuki

AU - Yoshinaga, Jun

AU - Fujimoto, Yu

AU - Hayashi, Yasuhiro

AU - Kusagawa, Shinichi

AU - Motegi, Noriyuki

PY - 2015/1/30

Y1 - 2015/1/30

N2 - A complicated voltage fluctuation in distribution systems and a decline in power quality occur when a large number of photovoltaic (PV) systems are installed. In this paper, the installation of a low-voltage regulator is assumed, and a method for instantly and accurately determining the line drop compensator (LDC) parameters is proposed to perform efficient voltage management, which consists of prediction, operation, and control. In the proposed method, the computational cost to derive the LDC parameters can be reduced by learning the optimality of the parameters in a series of load demands and the PV output using multiple classifiers. We performed numerical simulations to verify the validity of the proposed method. From the results, the classification accuracy is found to improve by considering the majority vote of multiple classifiers. Additionally, the improvement in the voltage control performance is verified.

AB - A complicated voltage fluctuation in distribution systems and a decline in power quality occur when a large number of photovoltaic (PV) systems are installed. In this paper, the installation of a low-voltage regulator is assumed, and a method for instantly and accurately determining the line drop compensator (LDC) parameters is proposed to perform efficient voltage management, which consists of prediction, operation, and control. In the proposed method, the computational cost to derive the LDC parameters can be reduced by learning the optimality of the parameters in a series of load demands and the PV output using multiple classifiers. We performed numerical simulations to verify the validity of the proposed method. From the results, the classification accuracy is found to improve by considering the majority vote of multiple classifiers. Additionally, the improvement in the voltage control performance is verified.

KW - Distribution system

KW - K-nearest-neighbor algorithm

KW - LVR

KW - Random forests

KW - Support vector machine

UR - http://www.scopus.com/inward/record.url?scp=84936973076&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84936973076&partnerID=8YFLogxK

U2 - 10.1109/ISGTEurope.2014.7028851

DO - 10.1109/ISGTEurope.2014.7028851

M3 - Conference contribution

AN - SCOPUS:84936973076

VL - 2015-January

BT - IEEE PES Innovative Smart Grid Technologies Conference Europe

PB - IEEE Computer Society

ER -