Mobile QR Code QR CODE : Korean Journal of Air-Conditioning and Refrigeration Engineering
Korean Journal of Air-Conditioning and Refrigeration Engineering

Korean Journal of Air-Conditioning and Refrigeration Engineering

ISO Journal TitleKorean J. Air-Cond. Refrig. Eng.
  • Open Access, Monthly
Open Access Monthly
  • ISSN : 1229-6422 (Print)
  • ISSN : 2465-7611 (Online)
Title Mathematical Models of a Transformer Cooling System for the Control Algorithm Development
Authors 한도영(Doyoung Han) ; 노희전(Heejeon Noh)
Page pp.70-77
ISSN 1229-6422
Keywords 주변압기 냉각시스템 ; 정적모델 ; 동적모델 ; 송풍기 ; 오일쿨러 ; 오일펌프 ; 제어알고리즘 Main transformer cooling system ; Static model ; Dynamic model ; Blower ; Oil cooler ; Oil pump ; Control algorithm
Abstract In order to improve the efficiency of a main transformer in a train, the optimal operation of a cooling system is necessary. For the development of optimal control algorithms of a cooling system, mathematical models of a main transformer cooling system were developed. These include static and dynamic models of a main transformer, an oil pump, an oil cooler, and a blower. Static models were used to find optimal oil temperatures of the inlet and the outlet of a transformer. Dynamic models were used to predict transient performances of control algorithms of a blower and an oil pump. Simulation results showed good predictions of the static and the dynamic behavior of a main transformer cooling system. Therefore, mathematical models developed in this study may be effectively used for the development of control algorithms of a main transformer cooling system.