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IEEE PES Scholarship Plus Initiative IEEE PES 奖学金补充计划
IF 3.4 Q2 Engineering Pub Date : 2023-12-01 DOI: 10.1109/mele.2023.3331828
Daniel Toland
The thing that I love about power engineering is that it truly engages with people from all walks of life. We all interact with electricity on a daily basis and the power engineering field offers me the opportunity to play a role in the delivery of this necessity. I am most excited about the rapidly changing face of the power engineering field. This is a time where the industry is being transformed in ways that it has not been shaped in decades.
我喜欢动力工程的原因是它真正吸引了各行各业的人。我们每天都与电力互动,电力工程领域为我提供了在实现这一需求方面发挥作用的机会。最令我兴奋的是电力工程领域日新月异的面貌。这是一个行业正在以几十年来从未有过的方式进行转型的时代。
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引用次数: 0
Automatic Generation of Power System Simulation Data Cases From Utility Databases: Introducing a new technology 从公用事业数据库自动生成电力系统仿真数据案例:引入一项新技术
IF 3.4 Q2 Engineering Pub Date : 2023-12-01 DOI: 10.1109/MELE.2023.3320521
Taku Noda, Tomo Tadokoro, Takashi Dozaki
What is the most time-consuming part of simulations? In the past, the answer was the simulation itself. So, many experts worked very hard to develop faster simulation algorithms with less consumption of memory. It was also true that many experts worked hard on applying a new computing facility—for instance, a parallel computer—to a specific type of simulation. Those efforts were begun to make the simulation time shorter as much as possible with less memory consumption. However, now, computers are extremely fast with a sufficient amount of memory. For instance, the smartphone in my hand has a gigahertz-clock CPU with eight cores and gigabytes of memory. This is much better than even the mainframe computer shared by many students and even professors when I was a university student about 30 years ago. Laptop and desktop computers and cloud servers today have even better CPUs, memories, and storage. Of course, a faster simulation speed with less consumption of memory is still important since people want to simulate more complex and thus realistic simulation cases with a shorter or similar simulation time. However, this is not the most important aspect anymore, at least for power system simulations.
模拟中最耗时的部分是什么?在过去,答案是模拟本身。因此,许多专家非常努力地开发更快的仿真算法,减少内存消耗。的确,许多专家努力将一种新的计算设备(例如,并行计算机)应用于特定类型的模拟。这些努力开始使模拟时间尽可能短,内存消耗更少。然而,现在的计算机在内存充足的情况下速度非常快。例如,我手中的智能手机有一个千兆赫时钟的中央处理器,有八核和千兆字节的内存。这甚至比30年前我还是大学生时许多学生甚至教授共享的大型计算机要好得多。今天的笔记本电脑、台式电脑和云服务器拥有更好的cpu、内存和存储。当然,更快的模拟速度和更少的内存消耗仍然很重要,因为人们想要用更短或相似的模拟时间模拟更复杂、更真实的模拟情况。然而,这不再是最重要的方面,至少对于电力系统模拟来说。
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引用次数: 0
PES Resource Center PES资源中心
Q2 Engineering Pub Date : 2023-09-01 DOI: 10.1109/mele.2023.3306626
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引用次数: 0
10th Anniversary and Powering Data Centers [From the Editor] 十周年纪念与助力数据中心[来自编辑]
Q2 Engineering Pub Date : 2023-09-01 DOI: 10.1109/mele.2023.3290830
Ehsan Nasr, Lingling Fan
September 2023 commemorates a significant milestone as IEEE Electrification Magazine celebrates its 10th anniversary. We have invited the founding editor-in-chief, Prof. Saifur Rahman of Virginia Tech (2023 IEEE president and CEO), and the past editor-in-chief, Prof. Iqbal Husain of North Carolina State University, to voice their perspectives on the electrification technologies and their expectations to the magazine. Their articles can be found in the special section of the 10th anniversary celebration.
2023年9月,IEEE电气化杂志庆祝创刊10周年,这是一个重要的里程碑。我们邀请了创始主编,弗吉尼亚理工大学的Saifur Rahman教授(2023年IEEE总裁兼首席执行官)和前主编,北卡罗莱纳州立大学的Iqbal Husain教授,向杂志发表他们对电气化技术的看法和期望。他们的文章可以在十周年庆典的特别栏目中找到。
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引用次数: 0
IEEE PES GM Resistration IEEE PES GM电阻
Q2 Engineering Pub Date : 2023-09-01 DOI: 10.1109/mele.2023.3306623
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引用次数: 0
Virtual Power Plant Empowerment in the Next Generation of Data Centers: Outlining the challenges 下一代数据中心中的虚拟电厂授权:概述挑战
Q2 Engineering Pub Date : 2023-09-01 DOI: 10.1109/mele.2023.3291228
Farid Katiraei, Samaneh Morovati, Shadi Chuangpishit, Seyyed Ali Ghorashi
The rapidly growing number of hyperscale data centers (DCs) with predominantly artificial intelligence (AI) types of loads in the current regulatory environment of promoting clean energy content suggests increasing the use of distributed energy resources (DERs). Some key factors are regulatory mandates to achieve carbon-free operation and reduce dependency on the electric grid. Although the addition of renewable resources in the form of DERs to DC infrastructure introduces significant challenges in design and operation, it also brings opportunities for implementing sophisticated control and automation to further capture the DER value for enhancing the grid reliability, resilience, and participation in demand response (DR) programs, depending on the location of DCs.
在当前促进清洁能源含量的监管环境中,以人工智能(AI)类型负载为主的超大规模数据中心(dc)数量迅速增长,这意味着增加分布式能源(DERs)的使用。一些关键因素是实现无碳运行和减少对电网依赖的监管要求。尽管将可再生资源以分布式电源的形式添加到数据中心基础设施中,在设计和运营方面带来了重大挑战,但它也为实施复杂的控制和自动化带来了机会,从而进一步获得分布式电源的价值,以提高电网的可靠性、弹性和参与需求响应(DR)计划,具体取决于数据中心的位置。
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引用次数: 0
IEEE Trans on Energy Markets,Policy & Regulations CFP IEEE能源市场、政策与分析;规定CFP
Q2 Engineering Pub Date : 2023-09-01 DOI: 10.1109/mele.2023.3306624
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引用次数: 0
Dates Ahead 日期提前
Q2 Engineering Pub Date : 2023-09-01 DOI: 10.1109/mele.2023.3291508
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引用次数: 0
Save the Date 保存日期
Q2 Engineering Pub Date : 2023-09-01 DOI: 10.1109/mele.2023.3311248
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引用次数: 0
IEEE Dataport announcement IEEE数据端口公告
Q2 Engineering Pub Date : 2023-09-01 DOI: 10.1109/mele.2023.3306622
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引用次数: 0
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IEEE Electrification Magazine
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