Title :
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
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;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location :
Shiyang
DOI :
10.1109/ICCIS.2013.459
