State Grid Corporation of China (sgcc)

Electric Power Research Institute of State Grid Zhejiang Electric Power Company

State Grid Zhejiang Electric Power Company Limited Electric Power Research Institute

Hangzhou Kelin Electric Co., Ltd

Bingxiao Mei

Wenhao Wang

Chen Li

Xiang Sun

Yiming Zheng

Zemin Wei

Hui Yao

Jianyang Dong

Weiguo Wang

Zhongsheng Hua

Tieying Tang

Daolin Lan

Wei Qiu

Yifan He

Xuesong Dong

Jialong Xu

Wei Du

Xixing Hu

Qiaoqun Xia

Wenlin He

Yiyong Zhu

Haojun Liu

Disclosed is an intelligent on-line diagnosis method for winding deformation of power transformer. When a transformer is subjected to short-circuit shock or transportation collision, transformer windings may undergo local twisting, swelling or the like under the action of an electric power or mechanical force, which is called winding deformation and will cause a huge hidden danger to the safe operation of the power network. Commonly used diagnosis methods for winding deformation are all off-line diagnosis methods, which have the disadvantages that transformers need to be shut down and highly skilled operators are required. The present invention provide an intelligent on-line diagnosis method for winding deformation on the basis of combination of information entropy and support vector machine. By carrying out feature extraction of current and voltage signals based on permutation entropy and wavelet entropy, integrating the variation of the monitoring indicators of the power transformers in complexity, time-frequency domain and the like and automatically learning the diagnostic logic from fault features through the machine learning algorithm, intelligent diagnosis of winding deformation is realized, thereby reducing labor costs and improving diagnosis efficiency.

Intelligent on-line diagnosis and positioning method for winding deformation of power transformers

A method for obtaining a relation between a winding state and a leakage reactance parameter of a transformer by using simulation software is provided. The method includes: establishing a simulation transformer based on a size of a physical transformer; setting parameters of the simulation transformer, setting a winding of the simulation transformer in a predetermined winding state; obtaining a predetermined number of values of a leakage reactance parameter of the simulation transformer in the winding state; and performing statistics on all the values to obtain a value range of the leakage reactance parameter in a case that the winding is in the winding state. The value range is used as a value range of a leakage reactance parameter of the physical transformer in a case that a winding of the physical transformer is in the winding state.

Method and system for obtaining relation between winding state and leakage reactance parameter of transformer

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Zhejiang, China

Bingxiao Mei