HTS-SMES磁体的优化参数设计

2006 2nd International Conference on Power Electronics Systems and Applications Pub Date : 2006-11-01 DOI:10.1109/PESA.2006.343084

Che Yanbo, Liu Liyun, K. Cheng

{"title":"HTS-SMES磁体的优化参数设计","authors":"Che Yanbo, Liu Liyun, K. Cheng","doi":"10.1109/PESA.2006.343084","DOIUrl":null,"url":null,"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.","PeriodicalId":402403,"journal":{"name":"2006 2nd International Conference on Power Electronics Systems and Applications","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Optimal Parameters Design of HTS-SMES Magnets\",\"authors\":\"Che Yanbo, Liu Liyun, K. Cheng\",\"doi\":\"10.1109/PESA.2006.343084\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":402403,\"journal\":{\"name\":\"2006 2nd International Conference on Power Electronics Systems and Applications\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 2nd International Conference on Power Electronics Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PESA.2006.343084\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 2nd International Conference on Power Electronics Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PESA.2006.343084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

为了使高温超导磁体体积最小，减小磁场垂直分量，提出了迭代算法和遗传算法两种优化算法对高温超导磁体的几何参数进行优化设计。给出了500kJ高温超导磁体的优化设计实例。并对迭代算法和遗传算法进行了比较。迭代算法是一种磁体性能随线圈层数变化的优化方法。磁体几何参数的确定应遵循提高磁体性能的原则，并找到磁体体积的最小值。结合英国谢菲尔德大学遗传算法工具箱，将改进遗传算法很好地应用于磁体优化设计中，获得了最优结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

The Optimal Parameters Design of HTS-SMES Magnets

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2006 2nd International Conference on Power Electronics Systems and Applications

自引率

0.00%

发文量