Transformer State Evaluation Based on Multi-source Information Fusion and Improved Evidence Theory
SUN Congyue
HE Jin
LI Weixi
LI Zhixuan
Abstract：In order to solve the problem that the selection of traditional transformer state evaluation parameters is seriously af-fected by subjective selectivity and transformer index uncertainty,a transformer multi-source information fusion state evaluation method based on factor analysis and evidence theory is proposed.Among them,the transformer parameter index is extracted by prin-cipal component factor analysis method,and the state evaluation parameter system is determined by expert group experience and manual inspection parameters by variance maximization method.Then,the state evaluation of power transformer based on evidence theory is introduced to determine the membership function,and the membership function is modified.The data is iteratively opti-mized by feedback of fuzzy judgment results.Finally,the experiment of 240 MVA and 220 kV transformer verifies that the proposed method can objectively reflect the real state of transformer operation.
Keywords：power transformerstate assessmentfactor analysisD-S evidence theoryinformation fusion
Publication Date：2025-12-20
Online Publishing Date：2026-03-09(First online date of this platform, not the publication date of the document)
Pages：6( 3551-3556 )