• DocumentCode
    3217870
  • Title

    Determination of optimal transformer noise levels in outdoor substations using pseudo-inverse

  • Author

    Tanaka, H. ; Yamashita, D. ; Niimura, T. ; Yokoyama, R.

  • Author_Institution
    Tokyo Electr. Power Co., Tokyo
  • fYear
    2009
  • fDate
    15-18 March 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Transformers in outdoor substations often need to comply with strict noise regulation standards in urban areas. In this paper the authors propose a practical method for determining the acoustic noise levels of transformers to be reduced in an urban outdoor substation. The proposed algorithm is based on a pseudo-inverse calculation using an empirical formula for noise levels at the boundary points around the substation premises. Necessary input parameters are three dimensions of each transformer and distance between transformers and each boundary point. By solving the pseudo-inverse problem of the linear system, the sum of transformer noise levels that is achievable by minimum upgrade cost is determined. The proposed method is demonstrated on a model substation and a real primary substation. Solutions were also compared with an optimal solution obtained by linear programming that minimizes the sum of transformer noise level reductions with the minimum cost.
  • Keywords
    linear programming; substations; transformers; linear programming; linear system; noise regulation standards; optimal transformer noise level; pseudoinverse problem; urban outdoor substation; Acoustic noise; Cost function; Linear programming; Linear systems; Noise level; Noise reduction; Power transformer insulation; Power transformers; Substations; Urban areas; Power transformer; acoustic noise; noise reduction; pseudo-inverse; substation; transformer upgrade;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Conference and Exposition, 2009. PSCE '09. IEEE/PES
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4244-3810-5
  • Electronic_ISBN
    978-1-4244-3811-2
  • Type

    conf

  • DOI
    10.1109/PSCE.2009.4840157
  • Filename
    4840157