Proposal and experimental verification of distribution voltage estimation and control method using measured data from IT switches

Yuji Hanai; Yasuhiro Hayashi; Junya Matsuki; Masanori Kurihara

doi:10.1541/ieejpes.130.859

Proposal and experimental verification of distribution voltage estimation and control method using measured data from IT switches

Yuji Hanai, Yasuhiro Hayashi, Junya Matsuki, Masanori Kurihara

School of Advanced Science and Engineering

Research output: Contribution to journal › Article › peer-review

16 Citations (Scopus)

Abstract

This paper describes distribution voltage estimation and a control method using measured data from sectionalizing switches with sensors which are called IT switch. The voltage estimation is based on Particle Swarm Optimization (PSO) and all distribution line voltages are estimated by minimizing the weighted sum of voltage and current error at IT switch. The voltage control maintains all the estimated node voltages within the proper range by changing tap of a LRT in a distribution substation. In order to check the validity of the proposed method, numerical and experimental simulations are carried out on a distribution system model.

Original language	English
Pages (from-to)	859-869
Number of pages	11
Journal	IEEJ Transactions on Power and Energy
Volume	130
Issue number	10
DOIs	https://doi.org/10.1541/ieejpes.130.859
Publication status	Published - 2010

Keywords

ANSWER
Distribution system
IT switch
Particle swarm optimization
Voltage control
Voltage estimation

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

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title = "Proposal and experimental verification of distribution voltage estimation and control method using measured data from IT switches",

abstract = "This paper describes distribution voltage estimation and a control method using measured data from sectionalizing switches with sensors which are called IT switch. The voltage estimation is based on Particle Swarm Optimization (PSO) and all distribution line voltages are estimated by minimizing the weighted sum of voltage and current error at IT switch. The voltage control maintains all the estimated node voltages within the proper range by changing tap of a LRT in a distribution substation. In order to check the validity of the proposed method, numerical and experimental simulations are carried out on a distribution system model.",

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T1 - Proposal and experimental verification of distribution voltage estimation and control method using measured data from IT switches

AU - Hanai, Yuji

AU - Hayashi, Yasuhiro

AU - Matsuki, Junya

AU - Kurihara, Masanori

PY - 2010

Y1 - 2010

N2 - This paper describes distribution voltage estimation and a control method using measured data from sectionalizing switches with sensors which are called IT switch. The voltage estimation is based on Particle Swarm Optimization (PSO) and all distribution line voltages are estimated by minimizing the weighted sum of voltage and current error at IT switch. The voltage control maintains all the estimated node voltages within the proper range by changing tap of a LRT in a distribution substation. In order to check the validity of the proposed method, numerical and experimental simulations are carried out on a distribution system model.

AB - This paper describes distribution voltage estimation and a control method using measured data from sectionalizing switches with sensors which are called IT switch. The voltage estimation is based on Particle Swarm Optimization (PSO) and all distribution line voltages are estimated by minimizing the weighted sum of voltage and current error at IT switch. The voltage control maintains all the estimated node voltages within the proper range by changing tap of a LRT in a distribution substation. In order to check the validity of the proposed method, numerical and experimental simulations are carried out on a distribution system model.

KW - ANSWER

KW - Distribution system

KW - IT switch

KW - Particle swarm optimization

KW - Voltage control

KW - Voltage estimation

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