电网 "神经元 "提升电力线性能

IF 2.6 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Alfred Poor
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引用次数: 0

摘要

考虑到高压电线在电气化世界中的重要作用,如今典型的高压电线却出奇地单调乏味。它通常只是一段导体(如铝),电子通过它从电源流向终端用户。不过,研究人员一直在测试电线上的钳式传感器,这种传感器被称为 "电力神经元",可以向电网运营商报告工作温度和电流等基本情况。根据明尼苏达州大河能源公司(Great River Energy)的一项研究,"神经元 "的试点部署使该电力公司的电力吞吐量提高了 40% 以上。神经元的挪威创造者、奥斯陆海姆达尔电力公司(Heimdall Power)表示,神经元传感器是通往未来智能电网的一条廉价而简单的途径,其成本仅为更换老化线路成本的 2% 至 5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Grid “Neurons” Boost Power-Line Performance
Today's typical high-voltage power line, considering its essential role in the electrified world, is surprisingly dull. It's typically just a length of conductor (like aluminum) through which electrons flow from power source to end users. However, researchers have been testing clamp-on sensors to the lines, called power Neurons, that can report fundamentals like operating temperature and current back to grid operators. According to one study by Great River Energy in Minnesota, a pilot deployment of Neurons enabled the utility company to increase its electricity throughput by more than 40 percent. The Neuron's Norwegian creator, Oslo's Heimdall Power, says its sensors are an inexpensive and simple byway to tomorrow's smart grid-coming in at just 2 to 5 percent of the cost of replacing an aging line.
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来源期刊
IEEE Spectrum
IEEE Spectrum 工程技术-工程:电子与电气
CiteScore
2.50
自引率
0.00%
发文量
254
审稿时长
4-8 weeks
期刊介绍: IEEE Spectrum Magazine, the flagship publication of the IEEE, explores the development, applications and implications of new technologies. It anticipates trends in engineering, science, and technology, and provides a forum for understanding, discussion and leadership in these areas. IEEE Spectrum is the world''s leading engineering and scientific magazine. Read by over 300,000 engineers worldwide, Spectrum provides international coverage of all technical issues and advances in computers, communications, and electronics. Written in clear, concise language for the non-specialist, Spectrum''s high editorial standards and worldwide resources ensure technical accuracy and state-of-the-art relevance.
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