Quantitative Assessment of Moisture Content in Frequency Domain Response For Transformers Oil-Paper Insulation Aging
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Quantitative Assessment of Moisture Content in Frequency Domain Response For Transformers Oil-Paper Insulation Aging
Vol. 45, Issue 10, Pages: 3221-3230(2019)
作者机构:
1. 哈尔滨理工大学工程电介质及其应用教育部重点实验室
2. 哈尔滨理工大学电介质工程国家重点实验室培育基地
3. 黑龙江电力科学研究院
作者简介:
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DOI:
CLC:
Published Online:31 October 2019,
Published:2019
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ZHANG Mingze, LIU Ji, QI Pengshuai, et al. Quantitative Assessment of Moisture Content in Frequency Domain Response For Transformers Oil-Paper Insulation Aging[J]. 2019, 45(10): 3221-3230.
DOI:
ZHANG Mingze, LIU Ji, QI Pengshuai, et al. Quantitative Assessment of Moisture Content in Frequency Domain Response For Transformers Oil-Paper Insulation Aging[J]. 2019, 45(10): 3221-3230.DOI:
Quantitative Assessment of Moisture Content in Frequency Domain Response For Transformers Oil-Paper Insulation Aging
the moisture content of transformer’s oil-immersed pressboard is greatly increased. Based on the equivalent model of transformer and the dielectric response model of composite medium
meanwhile
based on laboratory data and frequency temperature superposition theory
a quantitative calculation method of moisture content in oil-immersed pressboard of transformer is obtained. In order to verify the validity of the algorithm
the moisture content of equivalent model after natural moisture absorption under variable temperature and the moisture content of equivalent model after aging test at room temperature are experimentally analyzed. The test results reveal that
for the XY model of natural moisture absorption
the results calculated by this algorithm are closer to the titration values. The accuracy of calculation results is determined by the goodness of fitting curve. For the model of aging
the result of IDAX-300 fitting algorithm is relatively high when the moisture content of the model is tested after aging at a wide frequency range. Moreover
the oil-paper insulation model and transformer scaling model under different aging conditions are tested and verified. Using the numerical iterative algorithm
we flexibly choose the computation frequency domain to solve the problem that the low molecular material product after aging will remarkably affect the test results. The numerical iterative fitting results of moisture content are closer to the real titration value.