Kalman-filter based estimation of electric load composition with non-ideal transformer modeling

Soon Lee, Seung Mook Baek, Jung Wook Park, Young Hyun Moon

Research output: Contribution to journalArticle

Abstract

This paper presents a study to estimate the composition of an electric load, i.e. to determine the amount of each load class by the direct measurements of the total electric current waveform from instrument reading. Kalman filter algorithm is applied to estimate the electric load composition on a consumer side of a distributed power system. The electric load supplied from the different voltage level by using a non-ideal delta-wye transformer is also studied with consideration of the practical environment for a distributed power system.

Original languageEnglish
Pages (from-to)2877-2883
Number of pages7
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE90-A
Issue number12
DOIs
Publication statusPublished - 2007 Jan 1

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Electric loads
Transformer
Kalman filters
Kalman Filter
Chemical analysis
Modeling
Power System
Distributed Systems
Electric currents
Electric Current
Waveform
Estimate
Voltage
Electric potential

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

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Kalman-filter based estimation of electric load composition with non-ideal transformer modeling. / Lee, Soon; Baek, Seung Mook; Park, Jung Wook; Moon, Young Hyun.

In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E90-A, No. 12, 01.01.2007, p. 2877-2883.

Research output: Contribution to journalArticle

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