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Energies 2017, 10(10), 1526; doi:10.3390/en10101526

Grey Relational Analysis for Insulation Condition Assessment of Power Transformers Based Upon Conventional Dielectric Response Measurement

1,2,†
,
1,3,†,* , 1,†,* , 1
and
4
1
Guangxi Key Laboratory of Power System Optimization and Energy Technology, Guangxi University, Nanning 530004, China
2
Shijiazhuang Power Supply Branch of State Grid Electric Power Company, Shijiazhuang 050093, China
3
State Grid Henan Electric Power Research Institute, Zhengzhou 450052, China
4
State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China
These authors contributed equally to this work.
*
Authors to whom correspondence should be addressed.
Received: 10 August 2017 / Revised: 31 August 2017 / Accepted: 27 September 2017 / Published: 8 October 2017
(This article belongs to the Section Electrical Power and Energy System)
View Full-Text   |   Download PDF [2324 KB, uploaded 8 October 2017]   |  

Abstract

Conventional dielectric response measurement techniques, for instance, recovery voltage measurement (RVM), frequency domain spectroscopy (FDS) and polarization–depolarization current (PDC) are effective nondestructive insulation monitoring techniques for oil-impregnated power transformers. Previous studies have focused mainly on some single type of dielectric measurement method. However, the condition of oil paper insulation in transformer is affected by many factors, so it is difficult to predict the insulation status by means of a single method. In this paper, the insulation condition assessment is performed by grey relational analysis (GRA) technique after carefully investigating different dielectric response measurement data. The insulation condition sensitive parameters of samples with unknown insulation status are extracted from different dielectric response measurement data and then these are used to contrast with the standard insulation state vector models established in controlled laboratory conditions by using GRA technique for predicting insulation condition. The performance of the proposed approach is tested using both the laboratory samples and a power transformer to demonstrate that it can provide reliable and effective insulation diagnosis. View Full-Text
Keywords: recovery voltage measurement; polarization–depolarization current; frequency domain spectroscopy; grey relational analysis; oil-impregnated transformers recovery voltage measurement; polarization–depolarization current; frequency domain spectroscopy; grey relational analysis; oil-impregnated transformers
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Liu, J.; Zheng, H.; Zhang, Y.; Wei, H.; Liao, R. Grey Relational Analysis for Insulation Condition Assessment of Power Transformers Based Upon Conventional Dielectric Response Measurement. Energies 2017, 10, 1526.

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