Optimization of cooling duct shape in a naturally ventilated electrical transformer

• Autorzy: Smołka, J. , Nowak, A. J.
• Konferencja: Konferencja Naukowo-Techniczna Modelowanie i Sterowanie Procesów Elektrotermicznych (22-24.09.2010 ; Kielce, Polska)
• Języki publikacji: EN

Abstrakty

EN

A shape optimization of cooling ducts in try-type transformers using Computational Fluid Dynamics (CFD) and Genetic Algorithm (GA) is presented in this paper. The GA algorithm was used to optimize the diameters of the ducts and both internal and external part of the HV and LV coils. The constraints in the optimization process were the minimum distance between HV and LV windings and total dimensions of the coils. Since the investigated transformer was a special unit, the objective function was to minimize the average/maximum temperature of the windings, and thus the coil power losses. Its value was determined a CFD model taking all three heat transfer mechanisms into consideration. Both coil anisotropic properties and coil power losses varied in each generated coil configuration. The results showed that the non-uniform positioning of the wires and air ducts can significantly improve the cooling conditions of the analyzed unit. In consequence, the coil losses were substantially reduced.

Słowa kluczowe

EN

transformer cooling; coil loss reduction; shape optimization

• Czasopismo: Zeszyty Naukowe Politechniki Świętokrzyskiej. Nauki Techniczne
• Rocznik: 2010
• Tom: Z. 15
• Strony: 142-149
• Opis fizyczny: Bibliogr. 10 poz., rys., tab., wykr.

Twórcy

autor

Smołka, J.

autor

Nowak, A. J.

• Politechnika Śląska, Instytut Techniki Cieplnej, ul. Konarskiego 22, 44-100 Gliwice

Bibliografia

• [1] Amoiralis E.I., Georgilakis P.S., Kefalas T.D., Tsili M.A., and Kladas A.G., Artificial intelligence combined with hybrid FEM-BE techniques for global transformer optimization. “IEEE Trans. Magn.” 43(2007), pp. 1633-1637.
• [2] Georgilakis P.S., Tsili M.A., Souflaris A.T., A heuristic solution to the transformer manufacturing cost optimization problem, “J. Mater. Process. Technol.” 181(2007), pp. 260-266.
• [3] Amoiralis E.I., Georgilakis P.S., Tsili M.A. and Kladas A.G., Global transformer optimization method using evolutionary design and numerical field computation. “IEEE Trans. Magn.” 45(2009), pp. 1720-1723.
• [4] Amoiralis E.I., Tsili M.A., Georgilakis P.S., Kladas A.G. and Souflaris A.T., A parallel mixed integer programming-finite element method technique for global design optimization of power transformers, “IEEE Trans. Magn.” 44(2008), pp. 1022-1025.
• [5] Takahashi N., Kitamura T., Horii M., and Takehara J., Optimal design of tank shield model of transformer. “IEEE Trans. Magn.”, 36(2000), pp. 1089-1093.
• [6] Tsili M.A., Kladas A.G., Georgilakis P.S., Souflaris A.T., and Paparigas D.G., Geometry optimization of magnetic shunts in power transformers based on a particular hybrid finite-element boundary-element model and sensitivity analysis. “IEEE Trans. Magn.”, 41(2005), pp. 1776-1779.
• [7] Kozak S., Janowski T., Wojtasiewicz G., Kozak J. and Glowacki B., Experimental and numerical analysis of electrothermal and mechanical phenomena in HTS tube of inductive SFCL. “IEEE Trans. Appl. Superconduct.”, 16(2006), pp. 711-714.
• [8] Smolka J., Nowak A.J., Experimental validation of the coupled fluid flow, heat transfer and electromagnetic numerical model of the medium-power dry-type electrical transformer. “J. Therm. Sci.” 47(2008), pp. 1393-1410.
• [9] Smolka J., Biro O., Nowak A.J., Numerical simulation and experimental validation of coupled flow, heat transfer and electromagnetic problems in electrical transformers. “Arch. Comput. Methods Eng. 16(2009), pp. 319-355.
• [10] Computational Fluid Dynamics Software. User’s manual, Release 12.1, 2006. Ansys Inc, www.ansys.com.