• DocumentCode
    2541562
  • Title

    Transformer noise level optimization based on reverse calculation problem and linear programming

  • Author

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

  • Author_Institution
    Tokyo Electr. Power Co., Uchisaiwai-Cho, Tokyo
  • fYear
    2008
  • fDate
    20-24 July 2008
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper proposes a simple and practical method for determining the optimal acoustic noise levels of transformers to be replaced in an aged substation. The proposed algorithm is based on a reverse calculation method and Linear Programming using an empirical formula for estimating 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. Constraints are derived from the empirical noise level estimation formula and the regulated noise levels on the boundary. In the transformed problem, a sum of transformer noise levels is selected as an objective function to be maximized. The proposed method is successfully tested and verified on a model substation as well as a real primary substation.
  • Keywords
    acoustic noise measurement; linear programming; power transformer testing; substations; linear programming; optimal acoustic noise; reverse calculation problem; substation; transformer noise level optimization; Acoustic noise; Aging; Cost function; Linear programming; Noise level; Noise measurement; Optimization methods; Power system modeling; Power transformer insulation; Substations; Acoustic noise; Environment; Linear programming; Noise measurement; Optimization method; Power system; Substation; Transformer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
  • Conference_Location
    Pittsburgh, PA
  • ISSN
    1932-5517
  • Print_ISBN
    978-1-4244-1905-0
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2008.4596646
  • Filename
    4596646