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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 電機資訊學院學士班 > 期刊論文 >  Applications of multi-point Arnoldi algorithms to linear lumped transformer model simplifications


    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/41849


    Title: Applications of multi-point Arnoldi algorithms to linear lumped transformer model simplifications
    Authors: Chia-Chi Chu;Herng-Jer Lee
    教師: 朱家齊
    Date: 2000
    Publisher: Institute of Electrical and Electronics Engineers
    Relation: Power Engineering Society Summer Meeting, 2000. IEEE,Volume 4, 16-20 July 2000,Page(s) 2406 - 2411 vol. 4
    Keywords: electro-magnetic transient
    power transformers
    model simplification
    multi-point Pad6 approximations
    Arnoldi algorithm
    Abstract: © 2000 Institute of Electrical and Electronics Engineers - The study of electromagnetic transients of power transformers requires different models at different levels. Comprehensive models are essential in design level while only simplified models are required for system level simulations. Since different model characteristics in different levels, it is beneficial to develop a practical and efficient model simplification tool which can simplify the design level models into the system level models and capture essential characteristics prior to transformer constructions. In this paper, a new moment-matching-based algorithm is adopted for power transformer model reductions. This algorithm, called the multi-point Arnoldi algorithm, is an iterative method which can recursively generate a reduced-order orthonormal basis from the corresponding Krylov space. The parameters of the reduced system and those of the original system will be related by the congruence transform of the system matrix. The resulting simplified systems still retain some network characteristics of the original systems. Fundamental developments of this algorithm are discussed in detail. Applications of proposed techniques to comprehensive transformer models are given to illustrate the accuracy and tractability of proposed techniques
    URI: http://www.ieee.org/
    http://nthur.lib.nthu.edu.tw/handle/987654321/41849
    Appears in Collections:[電機資訊學院學士班] 期刊論文

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