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.
| Original language | English |
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| Title of host publication | 2006 2nd International Conference on Power Electronics Systems and Applications, ICPESA |
| Pages | 126-131 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 1 Dec 2006 |
| Event | 2006 2nd International Conference on Power Electronics Systems and Applications, ICPESA - Hong Kong, Hong Kong Duration: 12 Nov 2006 → 14 Nov 2006 |
Conference
| Conference | 2006 2nd International Conference on Power Electronics Systems and Applications, ICPESA |
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| Country/Territory | Hong Kong |
| City | Hong Kong |
| Period | 12/11/06 → 14/11/06 |
Keywords
- Genetic algorithm(GA)
- HTS magnets
- Iterative algorithm
- Minimum of volume
- Optimal design
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Control and Systems Engineering
- Electrical and Electronic Engineering