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用于高压直流超导输电线路设计的二分决策优化

Dichotomic Decision Optimization for the Design of HVDC Superconducting Links.

作者信息

Muñoz-Antón Javier, Marian Adela, Lesur Frédéric, Bruzek Christian-Eric

机构信息

Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, 28006 Madrid, Spain.

Institute for Advanced Sustainability Studies, 14467 Potsdam, Germany.

出版信息

Entropy (Basel). 2020 Dec 15;22(12):1413. doi: 10.3390/e22121413.

DOI:10.3390/e22121413
PMID:33333898
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7765334/
Abstract

Superconducting links are an innovative solution for bulk power transmission, distinguished by their compact dimensions, high efficiency and small environmental footprint. As with any new technology field, there is a large amount of design possibilities for such links, each of them having a profound impact on the system configuration. For instance, changing the material can imply a change in the working temperature from 20 to 70 K and has consequences on the maximum link length. This article presents the dichotomic decision possibilities for the optimized design of a high-power superconducting link, focusing on some of the key components of the cable system. The complex design optimization process is exemplified using the European project Best Paths, in which the first 3-gigawatt-class superconducting cable system was designed, optimized, manufactured, and successfully tested.

摘要

超导链路是大容量电力传输的一种创新解决方案,其特点是尺寸紧凑、效率高且对环境影响小。与任何新技术领域一样,此类链路存在大量设计可能性,每种可能性都会对系统配置产生深远影响。例如,改变材料可能意味着工作温度从20 K变为70 K,并会对链路的最大长度产生影响。本文介绍了高功率超导链路优化设计的二分决策可能性,重点关注电缆系统的一些关键组件。复杂的设计优化过程以欧洲项目“最佳路径”为例进行说明,在该项目中,首个3吉瓦级超导电缆系统被设计、优化、制造并成功测试。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51c4/7765334/ac66db593fef/entropy-22-01413-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51c4/7765334/b56893afcead/entropy-22-01413-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51c4/7765334/5761309db425/entropy-22-01413-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51c4/7765334/427278b4ab91/entropy-22-01413-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51c4/7765334/08197433e244/entropy-22-01413-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51c4/7765334/999b3a5c54a6/entropy-22-01413-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51c4/7765334/573a2d8194a3/entropy-22-01413-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51c4/7765334/7b28e909594a/entropy-22-01413-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51c4/7765334/ac66db593fef/entropy-22-01413-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51c4/7765334/b56893afcead/entropy-22-01413-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51c4/7765334/5761309db425/entropy-22-01413-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51c4/7765334/427278b4ab91/entropy-22-01413-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51c4/7765334/08197433e244/entropy-22-01413-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51c4/7765334/999b3a5c54a6/entropy-22-01413-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51c4/7765334/573a2d8194a3/entropy-22-01413-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51c4/7765334/7b28e909594a/entropy-22-01413-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51c4/7765334/ac66db593fef/entropy-22-01413-g008.jpg

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