Risk assessment for transformer loading

Author

Fu, Weihui ; McCalley, James D. ; Vittal, Vijay

Author_Institution

Iowa State Univ., Ames, IA, USA

Volume

16

Issue

3

fYear

2001

fDate

8/1/2001 12:00:00 AM

Firstpage

346

Lastpage

353

Abstract

A risk-based probabilistic method is presented to assess transformer loading capability, taking into account the probabilistic nature of time-varying loads and ambient temperature. A sample calculation, with both component level analysis and system level analysis, is given. Quantitative reference risk levels are obtained based on reference loading levels given by IEEE/ANSI C57.115-1991. It shows that our quantitative risk assessment is useful in assessing transformer loading and in aiding related decision making. An additional benefit is that it enables inclusion of transformer loading in composite system risk analysis

Keywords

Monte Carlo methods; power transformers; probability; risk management; IEEE/ANSI C57.115-1991; Monte Carlo simulation; ambient temperature; component level analysis; composite system risk analysis; decision making; loading cycle; probability; quantitative reference risk levels; reference loading levels; risk assessment; risk-based probabilistic method; system level analysis; time-varying loads; transformer loading; Decision making; Dielectrics and electrical insulation; Interconnected systems; Oil insulation; Power transformer insulation; Power transformers; Power transmission lines; Risk analysis; Risk management; Temperature distribution;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.932267

Filename

932267