Kalman-Filter Based Estimation of Electric Load Composition with Non-ideal Transformer Modeling

Soon LEE; Seung-Mook BAEK; Jung-Wook PARK; Young-Hyun MOON

doi:10.1093/ietfec/e90-a.12.2877

Kalman-Filter Based Estimation of Electric Load Composition with Non-ideal Transformer Modeling

Soon LEE, Seung-Mook BAEK, Jung-Wook PARK, Young-Hyun MOON

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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.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E90-A No.12 pp.2877-2883

Publication Date: 2007/12/01

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Online ISSN: 1745-1337

DOI: 10.1093/ietfec/e90-a.12.2877

Type of Manuscript: PAPER

Category: Numerical Analysis and Optimization

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Soon LEE, Seung-Mook BAEK, Jung-Wook PARK, Young-Hyun MOON, "Kalman-Filter Based Estimation of Electric Load Composition with Non-ideal Transformer Modeling" in IEICE TRANSACTIONS on Fundamentals, vol. E90-A, no. 12, pp. 2877-2883, December 2007, doi: 10.1093/ietfec/e90-a.12.2877.
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.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e90-a.12.2877/_p

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@ARTICLE{e90-a_12_2877,
author={Soon LEE, Seung-Mook BAEK, Jung-Wook PARK, Young-Hyun MOON, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Kalman-Filter Based Estimation of Electric Load Composition with Non-ideal Transformer Modeling},
year={2007},
volume={E90-A},
number={12},
pages={2877-2883},
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.},
keywords={},
doi={10.1093/ietfec/e90-a.12.2877},
ISSN={1745-1337},
month={December},}

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TY - JOUR
TI - Kalman-Filter Based Estimation of Electric Load Composition with Non-ideal Transformer Modeling
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2877
EP - 2883
AU - Soon LEE
AU - Seung-Mook BAEK
AU - Jung-Wook PARK
AU - Young-Hyun MOON
PY - 2007
DO - 10.1093/ietfec/e90-a.12.2877
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E90-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2007
AB - 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.
ER -