Automatic Generation of Power System Simulation Data Cases From Utility Databases: Introducing a new technology

IF 2.5 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Electrification Magazine Pub Date : 2023-12-01 DOI:10.1109/MELE.2023.3320521
Taku Noda, Tomo Tadokoro, Takashi Dozaki
{"title":"Automatic Generation of Power System Simulation Data Cases From Utility Databases: Introducing a new technology","authors":"Taku Noda, Tomo Tadokoro, Takashi Dozaki","doi":"10.1109/MELE.2023.3320521","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":45277,"journal":{"name":"IEEE Electrification Magazine","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Electrification Magazine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MELE.2023.3320521","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
IEEE Electrification Magazine
IEEE Electrification Magazine ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
5.80
自引率
0.00%
发文量
57
期刊介绍: IEEE Electrification Magazine is dedicated to disseminating information on all matters related to microgrids onboard electric vehicles, ships, trains, planes, and off-grid applications. Microgrids refer to an electric network in a car, a ship, a plane or an electric train, which has a limited number of sources and multiple loads. Off-grid applications include small scale electricity supply in areas away from high voltage power networks. Feature articles focus on advanced concepts, technologies, and practices associated with all aspects of electrification in the transportation and off-grid sectors from a technical perspective in synergy with nontechnical areas such as business, environmental, and social concerns.
期刊最新文献
Implementing a Behind-the-Meter Commercial and Industrial Microgrid: Key lessons in grounding, protection, and control IEEE Smart Village Education in Electrification for Societal Sustainability: History and philosophy Open Access Journal of Power & Energy Trends in dc Microgrids: From the control and protection perspective
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1