A Study for Improving Accuracy of Overhead Con-ductor Temperature Model under Large Discrete Steps

DOI

10.2991/eame-18.2018.56How to use a DOI?

Keywords

conductor temperature; quadratic function interpolation; calculation precision

Abstract

The accuracy of overhead conductor temperature model is easily affected by the sampling frequency of current and weather condi-tions. Due to the cost limitation and communication difficulty of the monitoring systems, the current and weather conditions is commonly sampled with the large sampling steps in the real engi-neering. The accuracy of calculated conductor temperature would be decreased, since the overhead conductor temperature model have to be calculated with the large discrete steps. In this paper, a method, combining the fourth-order Runge-Kutta algorithm and quadratic function interpolation, is proposed to improve the ac-curacy of overhead conductor temperature model under the large discrete steps. The calculating example indicated the validity of proposed method.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiong Chen
AU  - Renzhi Hu
AU  - Yujuan Hong
AU  - Zhanfeng Ying
PY  - 2018/06
DA  - 2018/06
TI  - A Study for Improving Accuracy of Overhead Con-ductor Temperature Model under Large Discrete Steps
BT  - Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)
PB  - Atlantis Press
SP  - 269
EP  - 272
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-18.2018.56
DO  - 10.2991/eame-18.2018.56
ID  - Chen2018/06
ER  -