Interior point nonlinear programming for optimal power flow problems with a novel data structure

Hua Wei, H. Sasaki, J. Kubokawa, R. Yokoyama

    研究成果: Conference contribution

    9 被引用数 (Scopus)

    抄録

    This paper presents a new interior point nonlinear programming algorithm for optimal power flow problems (OPF) based on the perturbed KKT conditions of the primal problem. Through the concept of the centering direction, we extend this algorithm to classical power flow (PF) and approximate OPF problems. For the latter, CPU time can be reduced substantially. To efficiently handle functional inequality constraints, a reduced correction equation is derived, the size of which depends on that of equality constraints. A novel data structure is proposed which has been realized by rearranging the correction equation. Compared with the conventional data structure of Newton OPF, the number of fill-ins of the proposed scheme is roughly halved and CPU time is reduced by about 15% for large scale systems. The proposed algorithm includes four kinds of objective functions and two different data structures. Extensive numerical simulations on test systems that range in size from 14 to 1047 buses, have shown that the proposed method is very promising for large scale application due to its robustness and fast execution time.

    本文言語English
    ホスト出版物のタイトルIEEE Power Industry Computer Applications Conference
    Place of PublicationPiscataway, NJ, United States
    出版社IEEE
    ページ134-141
    ページ数8
    出版ステータスPublished - 1997
    イベントProceedings of the 1997 20th IEEE International Conference on Power Industry Computer Applications - Columbus, OH, USA
    継続期間: 1997 5 111997 5 16

    Other

    OtherProceedings of the 1997 20th IEEE International Conference on Power Industry Computer Applications
    CityColumbus, OH, USA
    Period97/5/1197/5/16

    ASJC Scopus subject areas

    • Hardware and Architecture
    • Electrical and Electronic Engineering

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