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The Intelligent Control Algorithm of a Transformer Cooling System  

Han, Do-Young (School of Mechanical System Engineering, Kookmin University)
Won, Jae-Young (Graduate School of Mechanical Engineering, Kookmin University)
Publication Information
Korean Journal of Air-Conditioning and Refrigeration Engineering / v.22, no.8, 2010 , pp. 515-522 More about this Journal
Abstract
In order to improve the efficiency of a transformer cooling system, the intelligent algorithm was developed. The intelligent algorithm is composed of a setpoint algorithm and a control algorithm. The setpoint algorithm was developed by the neural network, and the control algorithm was developed by the fuzzy logic. These algorithms were used for the control of a blower and an oil pump of the transformer cooling system. In order to analyse performances of these algorithms, the dynamic model of a transformer cooling system was used. Based on various performance tests, energy savings and stable controls of a transformer cooling system were observed. Therefore, control algorithms developed for this study may be effectively used for the control of a transformer cooling system.
Keywords
Transformer cooling system; Dynamic model; Setpoint algorithm; Control algorithm; Neural network; Fuzzy logic;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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