• DocumentCode
    1493728
  • Title

    A highly efficient algorithm in treating current measurements for the branch-current-based distribution state estimation

  • Author

    Lin, Whei-Min ; Teng, Jen-Hao ; Chen, Shi-Jaw

  • Author_Institution
    Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
  • Volume
    16
  • Issue
    3
  • fYear
    2001
  • fDate
    7/1/2001 12:00:00 AM
  • Firstpage
    433
  • Lastpage
    439
  • Abstract
    A highly-linear branch-current-based state estimation model for a distribution system is proposed in this paper. This algorithm is based on the concepts presented by Baran and Kelley (see IEE Trans. on Power Systems, vol.10, no.1, p.483-91, 1995). Baran and Kelley proposed a novel branch-current-based approach to solve distribution state estimation. However, the treatment of current magnitude measurements and the complicated gain matrix by Baran and Kelley greatly degrades its value in real-world applications. The approach presented in this paper substantially revised the original method. A new algorithm with constant gain matrix and a decoupled form was developed. Tests have shown that the proposed method is robust, efficient and needs minimal storage requirement. The new algorithm provides a very good theoretical foundation for developing more applications and research in this area
  • Keywords
    distribution networks; electric current measurement; power system measurement; power system state estimation; branch-current-based distribution state estimation; constant gain matrix; current measurements; decoupled form; distribution system; gain matrix; highly efficient algorithm; highly-linear branch-current-based state estimation model; minimal storage requirement; Automation; Current measurement; Electrochemical machining; Jacobian matrices; Power measurement; Robustness; State estimation; Testing; Virtual manufacturing; Voltage;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/61.924823
  • Filename
    924823