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Steady-State Thermal Modeling of Salient Pole Synchronous Generator

Payam Shams Ghahfarokhi (), Andrejs Podgornovs, Ants Kallaste, Antonio J. Marques Cardoso, Anouar Belahcen, Toomas Vaimann, Oleg Kudrjavtsev, Bilal Asad and Muhammad Naveed Iqbal
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Payam Shams Ghahfarokhi: Department of Electrical Machines and Apparatus, Riga Technical University, Kaļķu iela 1, LV-1048 Riga, Latvia
Andrejs Podgornovs: Department of Electrical Machines and Apparatus, Riga Technical University, Kaļķu iela 1, LV-1048 Riga, Latvia
Ants Kallaste: Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 19086 Tallinn, Estonia
Antonio J. Marques Cardoso: CISE—Electromechatronic Systems Research Centre, University of Beira Interior, P-6201-001 Covilhã, Portugal
Anouar Belahcen: Department of Electrical Engineering and Automation, Aalto University, P.O. Box 15500, FI-00076 Aalto, Finland
Toomas Vaimann: Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 19086 Tallinn, Estonia
Oleg Kudrjavtsev: ABB Estonia, Aruküla tee 83, 75301 Jüri, Estonia
Bilal Asad: Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 19086 Tallinn, Estonia
Muhammad Naveed Iqbal: Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 19086 Tallinn, Estonia

Energies, 2022, vol. 15, issue 24, 1-15

Abstract: This paper presents a practical thermal model of a synchronous generator for high-power applications. This model couples the lumped parameter thermal network and coolant network together to utilize the impact of the coolant’s temperature rising over the machine. Furthermore, the advanced multi-planes technique provides a more precise and higher resolution temperature distribution of various machine sections. Therefore, the machines are divided into five planes; three belong to the active part, and two are added to model the machine’s drive and non-drive end-regions. Furthermore, the paper pays special attention to describing the challenges and providing solutions to them during the heat transfer modeling and analysis. Finally, the analytical model is verified using experimental results on a synchronous generator with a salient pole rotor and an open self-ventilation (OSV) cooling system by comparing the analytical and experimental results. As a result, good correspondence between the estimated and measurement results is achieved.

Keywords: AC machines; cooling; electrical machines; lumped parameter network; coolant network; temperature measurement; thermal analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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