The application discloses a kind of
transformer state evaluation methods based on fuzzy matter-element and
principal component analysis, belong to
transformer operating state evaluation technical field, this method first utilizes matter-element method to establish the matter-
element model of
transformer, the index information of multiple elements of transformer is fused, and the model is fuzzy and normalized
processing;
Entropy weight method is introduced into the weight calculation of transformer state index, and the weight of transformer state index is obtained using the operation data of transformer state index;
Principal component analysis is used to extract the main component, and the main component is used to replace all components to reduce the transformer online monitoring state quantity.Finally, a transformer state evaluation model based on fuzzy matter-element and
principal component analysis is designed, and the operating state of the transformer is finally obtained;The application uses entropy weight fuzzy matter-element and
principal component analysis to safely and effectively evaluate the transformer state, which can assist the dispatching department of
power grid to make decisions and improve the stability of
power grid operation.