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[期刊论文]

Oil-paper insulation classification and grading assessment based on improved TOPSIS and time-domain characteristic parameters

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author:

Cai, Jin-Ding (Cai, Jin-Ding.) [1] | Ye, Rong (Ye, Rong.) [2] | Liu, Qing-Zhen (Liu, Qing-Zhen.) [3] (Scholars:刘庆珍)

Indexed by:

EI PKU CSCD

Abstract:

In view of the current research on the time domain characteristics of oil-paper insulation aging, only the overall state diagnosis is made, and the insulation status of different media in the oil-paper insulation system is not distinguished.Using the field test data of the recovery voltage of the oil paper insulation transformer, the time domain characteristic quantity was processed according to the length of the charging time, and the standard state index of insulating oil and insulating paper was formed.The subjective and objective weights of each index were determined by scaling expansion method and coefficient of variation method, and the optimal combination of minimum discriminant information was carried out.Finally, an improved TOPSIS was used to evaluate the state of oil- paper insulation in different mediums.The test results of the actual oil immersed transformer verify that the method can realize the classified assessment of the insulation status of the same transformer oil and paper.At the same time, accuracy of the evaluation results was verified by comparing the actual conditions of transformer and the polymerization degree of insulation paper and the water quantity in oil. © 2020, Harbin University of Science and Technology Publication. All right reserved.

Keyword:

Charging time Eigenvalues and eigenfunctions Electric transformer testing Grading Insulating materials Insulation Oil filled transformers Paper Polymerization Time domain analysis

Community:

  • [ 1 ] [Cai, Jin-Ding]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Ye, Rong]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Liu, Qing-Zhen]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China

Reprint 's Address:

  • 叶荣

    [ye, rong]college of electrical engineering and automation, fuzhou university, fuzhou; 350108, china

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Source :

Electric Machines and Control

ISSN: 1007-449X

CN: 23-1408/TM

Year: 2020

Issue: 1

Volume: 24

Page: 86-94

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 6

30 Days PV: 2

操作日志

管理员  2024-08-15 03:09:10  更新被引

管理员  2024-07-13 07:36:18  更新被引

闫春丽  2023-08-31 16:06:07  数据初审

管理员  2020-11-19 16:32:35  创建

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