超导储能磁体电流补偿分布式2.5 D分析方法  

Analysis method on distributed 2.5D for current compensation of superconducting energy storage magnets

作　　者：王泽黎 蔡红军 杨云 魏光涛 高鑫[2] 刘畅[2] 刘博 祝凌峰 赵东[4] Wang Zeli;Cai Hongjun;Yang Yun;Wei Guangtao;Gao Xin;Liu Chang;Liu Bo;Zhu Lingfeng;Zhao Dong(State Grid Chaoyang Electric Power Co.,Ltd,Beijing 100124,China;State Grid Beijing Electric Power Co.,Ltd,Beijing 100031,China;University of Houston,School of Mechanical Engineering,Houston 77004,United States of America;School of Electrical and Electronic Engineering,North China Electric Power University,Beijing 102206,China)

机构地区：[1]国网北京朝阳供电公司,北京100124 [2]国网北京市电力公司,北京100031 [3]休斯顿大学机械工程学院,休斯顿77004 [4]华北电力大学电气与电子工程学院,北京102206

出　　处：《低温与超导》2023年第12期20-27,共8页Cryogenics and Superconductivity

基　　金：国家自然科学基金(51977078)资助。

摘　　要：研究了闭环高温超导储能磁体在非均匀交流外磁场下电流补偿过程中的分布式2.5 D分析方法。在77 K下对磁体电流补偿过程进行了H算法数值研究,H算法几何结构和求解域采用分布式2.5 D分解并配合BP神经网络进行求解。结果表明,所提算法能以更快的速度收敛,并保持理想的精度;此外,磁体在10~70 mT外磁场下能保持较好的电磁稳定性。In this paper,The distributed 2.5 D analysis method for current compensation of closed-loop high temperature superconducting(HTS) energy storage magnets under non-uniform AC external magnetic field was studied.The current compensation process of the magnet was numerically studied using the H-formulation at 77 K,and the geometric structure and solution domain of H-formulation are solved using distributed 2.5 D decomposition and Back Propagation(BP) neural network.The results show that the proposed algorithm can converge faster and maintain ideal accuracy;in addition,the magnet can maintain good electromagnetic stability under an external magnetic field of 10~70 mT.

关 键 词：高温超导 储能磁体 BP神经网络 分布式2.5 D 

分 类 号：TM12[电气工程—电工理论与新技术]