Surrogate Model-based Fast Calculation of Power Cable Temperature Field: Method and Application
Accurately predicting the temperature inside cables is crucial for effective cable management. However, this process can be time-consuming through numerical calculations and experimental measurements. To address this issue, a new method for constructing surrogate model based on multi-physics field s...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2024-05-01
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| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202306070 |
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| Summary: | Accurately predicting the temperature inside cables is crucial for effective cable management. However, this process can be time-consuming through numerical calculations and experimental measurements. To address this issue, a new method for constructing surrogate model based on multi-physics field simulation data is proposed to calculate the cable's internal temperature field quickly and accurately. A single-core 110 kV high-voltage cable is taken as a study subject. Firstly, the Latin hypercube design and the Latin hypercube method optimized by the maximum-minimum idea are compared in constructing the sample space. The optimal sampling scheme is selected to construct the surrogate mode through RBF neural network, and a temperature data set is created for testing using ambient temperature and load capacity. Additionally, the surrogate model is optimized by the particle swarm algorithm, and the temperature field distribution is visualized with the grid node data. The calculation result of the internal temperature of the 110 kV single-core high-voltage cable shows that the proposed surrogate model-based fast calculation method for power cable temperature field has high accuracy and efficiency. |
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| ISSN: | 1004-9649 |