Title :
The Optimal Parameters Design of HTS-SMES Magnets
Author :
Yanbo, Che ; Liyun, Liu ; Cheng, K. W Eric
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Univ.
Abstract :
In order to minimize the volume of HTS magnets and reduce the perpendicular component of magnetic field, two optimal algorithms- iterative algorithm and genetic algorithm are presented to make optimal design of geometry parameter of HTS magnets. The example of optimal design of 500kJ HTS magnet is also given. And the comparison between iterative algorithm and genetic algorithm has done. The iterative algorithm is a optimal method which magnet performance varies with numbers of solenoid coil layer. The magnet geometry parameters should be determined with a rule of heightening the magnet performances and the minimum of magnet volume is found. The improved GA is applied well in magnet optimal design combining Britaina Sheffield University GA toolbox and the optimal results are obtained.
Keywords :
genetic algorithms; high-temperature superconductors; iterative methods; solenoids; superconducting magnets; HTS-SMES magnets; genetic algorithm; iterative algorithm; optimal algorithms; optimal parameter design; solenoid coil layer; Algorithm design and analysis; Design optimization; High temperature superconductors; Iterative algorithms; Magnetic materials; Samarium; Solenoids; Superconducting coils; Superconducting magnetic energy storage; Superconducting magnets; HTS magnets; genetic algorithm(GA); iterative algorithm; minimum of volume; optimal design;
Conference_Titel :
Power Electronics Systems and Applications, 2006. ICPESA '06. 2nd International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
962-367-544-5
DOI :
10.1109/PESA.2006.343084
