Transformer Selection Research Based on Blind Number Theory

Xue Bing Zheng; Ran Li

doi:10.4028/www.scientific.net/AMM.521.159

Paper Titles

Short Term Wind Speed Prediction Based on Linear Combination and Error Correction
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Method of Wind Power Prediction Based on ANN and Improvements
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Research on Equivalent Modeling of Double-Fed Wind Farm Study
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The Optimized Charge-Discharge Strategy of EVs Considering the Fluctuation of Wind Power
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Transformer Selection Research Based on Blind Number Theory
p.159

Comprehensive Evaluation Based Selection Method for Power Transformer
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Overview of Generator Out-of-Step Prediction
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Power Quality Analysis Software Based on LabVIEW
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The Building and Revising Strategy of Load Model Parameter Database
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 521Transformer Selection Research Based on Blind...

Transformer Selection Research Based on Blind Number Theory

Abstract:

For a long time, the power company is always concerned about acquisition costs in power equipment selection and ignores the impact of operating costs on the selection decision. Thus, the selection model has a certain one-sidedness. In this paper, the life cycle costs theory is applied to the transformer selection, which consider transformer initial investment costs, operation and maintenance costs, technological overhaul costs, the cost of failure and scrap disposal costs in full life cycle more comprehensively. The result not only gives the transformer blind number expectations of full life cycle cost, but also can give the credibility of different costs interval and have a certain reference value.