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Kalman-Filter Based Estimation of Electric Load Composition with Non-ideal Transformer Modeling Soon LEE Seung-Mook BAEK Jung-Wook PARK Young-Hyun MOON Publication IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Vol.E90-A No.12 pp.2877-2883 Publication Date: 2007/12/01 Online ISSN: 1745-1337 DOI: 10.1093/ietfec/e90-a.12.2877 Print ISSN: 0916-8508 Type of Manuscript: PAPER Category: Numerical Analysis and Optimization Keyword: electric load composition, Kalman filter, non-ideal transformer modeling, power quality, distributed power system, Full Text: PDF(610.7KB)>>
Summary: 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. | ||||||||||
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