Keywords
agglomerative matterelement theory, grey correlation, objective weighting method, insulation aging, condition assessment
Abstract
In order to assess the insulation condition of transformer accurately, a comprehensive evaluation method is proposed on the basis of the grey matterelement analysis method. First of all, measurement results of insulation parameters and the actual operating condition of transformers are selected as evaluation indices to establish a multiindices evaluation system. Then, the grey matterelements are utilized to quantify eigenvalues of indices and then the condition of transformer more can be evaluated qualitatively and quantitatively. Meanwhile, the independence among indices is taken into account and correlation functions are constructed based on the matterelement theory. The multiindices evaluation problem is then transformed into a singleobjective assessment. However, the correlation between indices would bring duplicate information. To solve this problem, two objective weighting methods, which are the variation coefficient method and the multiple correlation coefficient method, are employed to calculate weights according to the importance of the indices. Finally, the improved method is applied to calculate the degree of grey correlation and the aging level of transformer insulation is evaluated. It is shown that this method is reasonable and feasible.
DOI
10.19781/j.issn.16739140.2020.01.018
First Page
137
Last Page
143
Recommended Citation
ZHANG, Mengyao; LI, Lei; LIU, Yanwen; XU, Pengcheng; and WANG, Xin
(2020)
"Multiindices insulation condition assessment method for transformer based on grey matterelement method,"
Journal of Electric Power Science and Technology: Vol. 35:
Iss.
1, Article 18.
DOI: 10.19781/j.issn.16739140.2020.01.018
Available at:
https://jepst.researchcommons.org/journal/vol35/iss1/18