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Research on the fast calculation model for transient temperature rise of direct buried cable groups

Authors: Li Hongle; Yao Zhoufei; Si Wenrong; Zhu Lingyu; Wang Yilin; Fu Chenzhao;

Research on the fast calculation model for transient temperature rise of direct buried cable groups

Abstract

In this paper, a method based on time domain response and superposition principle of heat conduction field is studied in this paper. It can realize the quick calculation of transient temperature rise of direct buried cable. The combined action of cable groups is discrete as a combination of multiple cables alone. Self — heating of a single cable can be described by a self — response model. The mutual influence between the cable can be described by mutual response model. And then the integrated temperature rise of the cable core can be obtained through node temperature rise coupling method. So the fast calculation of the transient temperature rise is realized. In the example verification, the model parameters are extracted by using the common software CYMCAP. And then the transient temperature rise process of the typical working condition can be calculated. Finally, compared with the software results, the validity of the method is verified.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average