A Model for Condition Assessment of Power Transformers Based on Fuzzy Theory

Author

Xie Ping ; Li Qinqian ; Wang Ying

Author_Institution

Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China

fYear

2013

fDate

21-23 June 2013

Firstpage

1757

Lastpage

1759

Abstract

This paper presents a new model based on the fuzzy approach to condition assessment of power transformers. An assessing index system, including the DGA data, electrical testing and oil testing, is established to facilitate the assessing model. It established membership functions of the qualitative indexes and quantitative indexes by using of fuzzy statistical test method and fuzzy distribution method. This work improved the analytical hierarchy process (AHP), and determines the weight of each index all levels without Consistency validation.

Keywords

analytic hierarchy process; condition monitoring; fuzzy set theory; power transformers; statistical analysis; transformer oil; AHP; DGA data; analytical hierarchy process; assessing index system; condition assessment; electrical testing; fuzzy approach; fuzzy distribution method; fuzzy statistical test method; fuzzy theory; membership functions; oil testing; power transformers; qualitative indexes; quantitative indexes; Analytic hierarchy process; Indexes; Oil insulation; Power transformer insulation; Symmetric matrices; Windings; IAHP; condition assessment; fuzzy theory; power transformers;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on

Conference_Location

Shiyang

Type

conf

DOI

10.1109/ICCIS.2013.459

Filename

6643378