关于地理分布式实时协同仿真的模型灵活性:以 ENET-RT 实验室为例

IF 4.8 2区 工程技术 Q2 ENERGY & FUELS Sustainable Energy Grids & Networks Pub Date : 2024-08-13 DOI:10.1016/j.segan.2024.101501
A. Mazza , G. Benedetto , E. Pons , E. Bompard , A. De Paola , D. Thomas , E. Kotsakis , G. Fulli , S. Vogel , A. Acosta Gil , A. Monti , S. Bruno , C. Iurlaro , M. La Scala , A. Bonfiglio , P. Cepollini , F. D’Agostino , M. Invernizzi , M. Rossi , F. Silvestro , D. Villacci
{"title":"关于地理分布式实时协同仿真的模型灵活性:以 ENET-RT 实验室为例","authors":"A. Mazza ,&nbsp;G. Benedetto ,&nbsp;E. Pons ,&nbsp;E. Bompard ,&nbsp;A. De Paola ,&nbsp;D. Thomas ,&nbsp;E. Kotsakis ,&nbsp;G. Fulli ,&nbsp;S. Vogel ,&nbsp;A. Acosta Gil ,&nbsp;A. Monti ,&nbsp;S. Bruno ,&nbsp;C. Iurlaro ,&nbsp;M. La Scala ,&nbsp;A. Bonfiglio ,&nbsp;P. Cepollini ,&nbsp;F. D’Agostino ,&nbsp;M. Invernizzi ,&nbsp;M. Rossi ,&nbsp;F. Silvestro ,&nbsp;D. Villacci","doi":"10.1016/j.segan.2024.101501","DOIUrl":null,"url":null,"abstract":"<div><p>The decarbonization of the energy sector represents a challenge that requires new tools and approaches of analysis. This paper aims to demonstrate the fundamental role that geographical distributed real-time co-simulations (GD-RTDS) can play in this regard. To this end, three different case studies have been analyzed with GD-RTDS, covering a wide range of applications for the energy sector decarbonization: (a) implementation of Renewable Energy Communities for supporting the share increase of Renewable Energy Sources, (b) the integration and management of Onshore Power Supply, and (c) the integration of a forecasting tool for the management of the Electric Vehicle charging. The performed experiments included fully simulated components, together with (power) hardware-in-the-loop and software-in-the-loop elements. These components have been simulated in different laboratory facilities in Italy and Germany, all operating in a synchronized manner under the presented geographically-distributed setup. The results show that the proposed architecture is flexible enough to be used for modeling all the different case studies; moreover, they highlight the significant contribution that the GD-RTDS methodology can give in informing and driving energy transition policies and the fundamental role of power systems to spearhead the complete decarbonization of the energy sector.</p></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"40 ","pages":"Article 101501"},"PeriodicalIF":4.8000,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352467724002303/pdfft?md5=9dd4b5a7b5da0a161115cb6052ec2469&pid=1-s2.0-S2352467724002303-main.pdf","citationCount":"0","resultStr":"{\"title\":\"On the model flexibility of the geographical distributed real-time co-simulation: The example of ENET-RT lab\",\"authors\":\"A. Mazza ,&nbsp;G. Benedetto ,&nbsp;E. Pons ,&nbsp;E. Bompard ,&nbsp;A. De Paola ,&nbsp;D. Thomas ,&nbsp;E. Kotsakis ,&nbsp;G. Fulli ,&nbsp;S. Vogel ,&nbsp;A. Acosta Gil ,&nbsp;A. Monti ,&nbsp;S. Bruno ,&nbsp;C. Iurlaro ,&nbsp;M. La Scala ,&nbsp;A. Bonfiglio ,&nbsp;P. Cepollini ,&nbsp;F. D’Agostino ,&nbsp;M. Invernizzi ,&nbsp;M. Rossi ,&nbsp;F. Silvestro ,&nbsp;D. Villacci\",\"doi\":\"10.1016/j.segan.2024.101501\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The decarbonization of the energy sector represents a challenge that requires new tools and approaches of analysis. This paper aims to demonstrate the fundamental role that geographical distributed real-time co-simulations (GD-RTDS) can play in this regard. To this end, three different case studies have been analyzed with GD-RTDS, covering a wide range of applications for the energy sector decarbonization: (a) implementation of Renewable Energy Communities for supporting the share increase of Renewable Energy Sources, (b) the integration and management of Onshore Power Supply, and (c) the integration of a forecasting tool for the management of the Electric Vehicle charging. The performed experiments included fully simulated components, together with (power) hardware-in-the-loop and software-in-the-loop elements. These components have been simulated in different laboratory facilities in Italy and Germany, all operating in a synchronized manner under the presented geographically-distributed setup. The results show that the proposed architecture is flexible enough to be used for modeling all the different case studies; moreover, they highlight the significant contribution that the GD-RTDS methodology can give in informing and driving energy transition policies and the fundamental role of power systems to spearhead the complete decarbonization of the energy sector.</p></div>\",\"PeriodicalId\":56142,\"journal\":{\"name\":\"Sustainable Energy Grids & Networks\",\"volume\":\"40 \",\"pages\":\"Article 101501\"},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2024-08-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2352467724002303/pdfft?md5=9dd4b5a7b5da0a161115cb6052ec2469&pid=1-s2.0-S2352467724002303-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sustainable Energy Grids & Networks\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352467724002303\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Energy Grids & Networks","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352467724002303","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

摘要

能源行业的去碳化是一项挑战,需要新的分析工具和方法。本文旨在展示地理分布式实时协同模拟(GD-RTDS)在这方面可以发挥的重要作用。为此,利用 GD-RTDS 分析了三个不同的案例研究,涵盖了能源行业去碳化的广泛应用:(a) 实施可再生能源社区,以支持可再生能源份额的增加;(b) 陆上供电的整合与管理;(c) 电动汽车充电管理预测工具的整合。所进行的实验包括完全模拟的组件,以及(电力)硬件在环和软件在环元素。这些组件已在意大利和德国的不同实验室设施中进行了模拟,所有组件均在提出的地理分布式设置下以同步方式运行。结果表明,所提出的架构非常灵活,可用于所有不同案例研究的建模;此外,这些结果还凸显了 GD-RTDS 方法在提供信息和推动能源转型政策方面所能做出的重大贡献,以及电力系统在引领能源行业全面去碳化方面所发挥的重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
On the model flexibility of the geographical distributed real-time co-simulation: The example of ENET-RT lab

The decarbonization of the energy sector represents a challenge that requires new tools and approaches of analysis. This paper aims to demonstrate the fundamental role that geographical distributed real-time co-simulations (GD-RTDS) can play in this regard. To this end, three different case studies have been analyzed with GD-RTDS, covering a wide range of applications for the energy sector decarbonization: (a) implementation of Renewable Energy Communities for supporting the share increase of Renewable Energy Sources, (b) the integration and management of Onshore Power Supply, and (c) the integration of a forecasting tool for the management of the Electric Vehicle charging. The performed experiments included fully simulated components, together with (power) hardware-in-the-loop and software-in-the-loop elements. These components have been simulated in different laboratory facilities in Italy and Germany, all operating in a synchronized manner under the presented geographically-distributed setup. The results show that the proposed architecture is flexible enough to be used for modeling all the different case studies; moreover, they highlight the significant contribution that the GD-RTDS methodology can give in informing and driving energy transition policies and the fundamental role of power systems to spearhead the complete decarbonization of the energy sector.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Sustainable Energy Grids & Networks
Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology
CiteScore
7.90
自引率
13.00%
发文量
206
审稿时长
49 days
期刊介绍: Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.
期刊最新文献
A hybrid machine learning-based cyber-threat mitigation in energy and flexibility scheduling of interconnected local energy networks considering a negawatt demand response portfolio An equilibrium-based distribution market model hosting energy communities and grid-scale battery energy storage The clearing strategy of primary frequency control ancillary services market from the point of view ISO in the presence of synchronous generations and virtual power plants based on responsive loads Optimal scheduling of smart home appliances with a stochastic power outage: A two-stage stochastic programming approach Cooperative price-based demand response program for multiple aggregators based on multi-agent reinforcement learning and Shapley-value
×
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