Paper
25 September 2023 Research on control of indoor temperature of transformer based on model prediction
Zhenxi Zhao, Chunsheng Liu, Yufu Guo, Tong Wu, Enhong Fan, Zhaohui Wang, Biao Yang
Author Affiliations +
Abstract
With the increasing demand for power supply, it is particularly important to control the indoor temperature of substations in summer. In this paper, the temperature in the transformer room is studied: firstly, the transfer function of the transformer room ambient temperature is given, in which the influence of the transformer heat loss on the output variation is fully considered. Secondly, the model prediction method is used to control the input and output changes of the mathematical model. In order to achieve the control objectives, the constraint conditions of the variables are given in the control process. Finally, the experiment shows that the model predictive control method can control the output variation in a small range, which proves the effectiveness and accuracy of the model predictive control method for transformer room temperature.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zhenxi Zhao, Chunsheng Liu, Yufu Guo, Tong Wu, Enhong Fan, Zhaohui Wang, and Biao Yang "Research on control of indoor temperature of transformer based on model prediction", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 1278833 (25 September 2023); https://doi.org/10.1117/12.3005081
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KEYWORDS
Transformers

Temperature metrology

Temperature control

Process control

Mathematical modeling

Air temperature

Control systems

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