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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationIEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES
DOIs
Publication statusPublished - 2008
EventIEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES - Pittsburgh, PA
Duration: 2008 Jul 202008 Jul 24

Other

OtherIEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES
CityPittsburgh, PA
Period08/7/2008/7/24

Keywords

  • Acoustic noise
  • Environment
  • Linear programming
  • Noise measurement
  • Optimization method
  • Power system
  • Substation
  • Transformer

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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  • Cite this

    Tanaka, H., Yamashita, D., Niimura, T., & Yokoyama, R. (2008). Transformer noise level optimization based on reverse calculation problem and linear programming. In IEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES [4596646] https://doi.org/10.1109/PES.2008.4596646