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
Link To Document :
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