Evaluating the state of health for power transformer oil so as to realize its cascade utilization is of great significance to save resources and protect the environment. There are large amounts of information for transformer oil. The information include viscosity, condensation point, point of flammability, acid value, water content, water-soluble acid, oxidation stability, interfacial tension, breakdown voltage, dielectric loss etc. Parts of the information are of uncertainty. This increases the difficulty of oil evaluation and classification. In order to overcome the difficulties, the fuzzy comprehensive evaluation method for state of health for power transformer oil was proposed. This evaluation method is built on large transformer oil's monitoring information, and provides the basis for cascade utilization of oil. Firstly, select out the indexes that can be used for oil evaluation, and establish evaluation factor sets and evaluation sets, with the method of fuzzy comprehensive evaluation method. Secondly, using ridge shape distribution as fuzzy membership function, determine fuzzy matrix of each factor on different evaluation class respectively. And finally, use the hierarchical analysis method to determine the weight of each index, obtain the quantitative values of the evaluation by means of fuzzy matrix synthesis, and establish the fuzzy comprehensive evaluation method for state of health of power transformer oil. As for the oil of a transformer that was in operation, as long as the corresponding experimental data was got, the state of health can be obtained with the help of fuzzy comprehensive evaluation method. Take the transformer of Xing-Cheng substation for instance. Using the proposed evaluating method, the corresponding experimental data was analyzed. And the investigations results show that the method is rational and valid.
[1]
Wang Chun-mei,et al.
Evaluation Research of Regional Power Grid Companies’ Operation Capacity based on Entropy Weight Fuzzy Comprehensive Model
,
2011
.
[2]
L. E A R N I N G O B J E C T I V.
Analytic Hierarchy Process Analytic Hierarchy Process Summary @bullet Glossary @bullet Key Equations @bullet Solved Problems @bullet Self-test @bullet Discussion Questions and Problems @bullet Bibliography Appendix M1.1: Using Excel for the Analytic Hierarchy Process M1.1 Introduction M1.2 Multifact
,
2022
.
[3]
Thanapong Suwanasri,et al.
Analysis of insulating oil to evaluate the condition of power transformer
,
2010,
ECTI-CON2010: The 2010 ECTI International Confernce on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.
[4]
Mohamed A. A. Wahab,et al.
Artificial neural network and non-linear models for prediction of transformer oil residual operating time
,
2011
.
[5]
I. N. da Silva,et al.
Intelligent system applied in diagnosis of transformer oil
,
2000
.
[6]
Hitoshi Okubo,et al.
Electrical insulation diagnostic method and maintenance criteria for oil-immersed power transformers
,
1999,
Proceedings of 1999 IEEE 13th International Conference on Dielectric Liquids (ICDL'99) (Cat. No.99CH36213).
[7]
L.M. Ying,et al.
Multi-level Fuzzy Comprehensive Evaluation of Power Supply Service Quality
,
2006,
2006 International Conference on Power System Technology.