Step-Stress Test Method for Electrical Life Model Based on Cumulative Damage Curve and Its Application in XLPE Cable
The inverse power function electrical life model (IPM) of XLPE represents the long-term voltage endurance characteristics of XLPE cable insulation. The parameters of IPM model including voltage endurance coefficient (VEC) are the important basis for cable insulation design and pre-qualification test...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2020-09-01
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| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202005062 |
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| Summary: | The inverse power function electrical life model (IPM) of XLPE represents the long-term voltage endurance characteristics of XLPE cable insulation. The parameters of IPM model including voltage endurance coefficient (VEC) are the important basis for cable insulation design and pre-qualification test voltage selection. The step-stress test has the advantages of short time and high efficiency, and is more suitable for obtaining the electrical life model parameters of cable samples. However, there are no standards for selection of step stress test parameters. At present, it mainly depends on experience and subjective determination, which seriously affects the validity and comparability of test results. In this paper, the “D-t curve” of accumulated damage of solid insulating materials is taken as the main basis to judge the failure mechanism of insulation. The equivalence of step-stress test and constant-stress test under different test parameters is analyzed, and the step-stress test parameters and field test scheme suitable for engineering application are proposed. With this method, a step-stress test is designed for two types of model cables with insulation thickness of 2.8 mm and 3.5 mm respectively, and the parameters of IPM electrical life model for the two types of model cables are obtained, which validates the feasibility of the proposed method. |
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| ISSN: | 1004-9649 |