基于边缘物联网的智能电网电力通信需求响应优化算法

IF 4.3 3区 工程技术 Q2 ENERGY & FUELS
Zhibo Fu, Abdullah Sultan Al Shammre, Shelily F. Akhtar, Radwan A. Almasri, Ahmed Emara, Mohammed J. F. Alenazi
{"title":"基于边缘物联网的智能电网电力通信需求响应优化算法","authors":"Zhibo Fu,&nbsp;Abdullah Sultan Al Shammre,&nbsp;Shelily F. Akhtar,&nbsp;Radwan A. Almasri,&nbsp;Ahmed Emara,&nbsp;Mohammed J. F. Alenazi","doi":"10.1155/er/2245366","DOIUrl":null,"url":null,"abstract":"<div>\n <p>Demand-response is one of the influencing factors in power communication networks. Existing studies did not consider much about the information distribution problem in power communication demand-response, therefore, this paper proposed a new approach. The main idea is to propose a multihop cooperative caching algorithm to minimize the delay that occurs during the demand-response of user’s information. The repetition caching rate of the edge gateway is reduced by providing low-delay information by proposing a noncooperative game-based caching scheme. Finally, a distributed caching algorithm for a real scenario is proposed. Simulation results show that the proposed algorithm improved the system’s performance under various operating conditions. It averages a reduction in the information distribution latency to 55.88% of the original mode; the actual maximum response capacity is raised by an average of 40.12%, and the number of power users increases by 2.53% on average.</p>\n </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3000,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/2245366","citationCount":"0","resultStr":"{\"title\":\"An Efficient Algorithm for Demand-Response Optimization in Smart Grid Power Communication Based on Edge-IoT\",\"authors\":\"Zhibo Fu,&nbsp;Abdullah Sultan Al Shammre,&nbsp;Shelily F. Akhtar,&nbsp;Radwan A. Almasri,&nbsp;Ahmed Emara,&nbsp;Mohammed J. F. Alenazi\",\"doi\":\"10.1155/er/2245366\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n <p>Demand-response is one of the influencing factors in power communication networks. Existing studies did not consider much about the information distribution problem in power communication demand-response, therefore, this paper proposed a new approach. The main idea is to propose a multihop cooperative caching algorithm to minimize the delay that occurs during the demand-response of user’s information. The repetition caching rate of the edge gateway is reduced by providing low-delay information by proposing a noncooperative game-based caching scheme. Finally, a distributed caching algorithm for a real scenario is proposed. Simulation results show that the proposed algorithm improved the system’s performance under various operating conditions. It averages a reduction in the information distribution latency to 55.88% of the original mode; the actual maximum response capacity is raised by an average of 40.12%, and the number of power users increases by 2.53% on average.</p>\\n </div>\",\"PeriodicalId\":14051,\"journal\":{\"name\":\"International Journal of Energy Research\",\"volume\":\"2025 1\",\"pages\":\"\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/2245366\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Energy Research\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1155/er/2245366\",\"RegionNum\":3,\"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":"International Journal of Energy Research","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/er/2245366","RegionNum":3,"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

需求响应是电力通信网运行的影响因素之一。现有研究对电力通信需求响应中的信息分布问题考虑较少,因此本文提出了一种新的方法。其主要思想是提出一种多跳协同缓存算法,以最大限度地减少用户信息需求响应过程中的延迟。提出了一种基于非合作博弈的缓存方案,通过提供低延迟信息,降低了边缘网关的重复缓存率。最后,提出了一种适用于实际场景的分布式缓存算法。仿真结果表明,该算法提高了系统在各种工况下的性能。它将信息分布延迟平均降低到原始模式的55.88%;实际最大响应能力平均提高40.12%,电力用户数量平均增长2.53%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An Efficient Algorithm for Demand-Response Optimization in Smart Grid Power Communication Based on Edge-IoT

An Efficient Algorithm for Demand-Response Optimization in Smart Grid Power Communication Based on Edge-IoT

Demand-response is one of the influencing factors in power communication networks. Existing studies did not consider much about the information distribution problem in power communication demand-response, therefore, this paper proposed a new approach. The main idea is to propose a multihop cooperative caching algorithm to minimize the delay that occurs during the demand-response of user’s information. The repetition caching rate of the edge gateway is reduced by providing low-delay information by proposing a noncooperative game-based caching scheme. Finally, a distributed caching algorithm for a real scenario is proposed. Simulation results show that the proposed algorithm improved the system’s performance under various operating conditions. It averages a reduction in the information distribution latency to 55.88% of the original mode; the actual maximum response capacity is raised by an average of 40.12%, and the number of power users increases by 2.53% on average.

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
International Journal of Energy Research
International Journal of Energy Research 工程技术-核科学技术
CiteScore
9.80
自引率
8.70%
发文量
1170
审稿时长
3.1 months
期刊介绍: The International Journal of Energy Research (IJER) is dedicated to providing a multidisciplinary, unique platform for researchers, scientists, engineers, technology developers, planners, and policy makers to present their research results and findings in a compelling manner on novel energy systems and applications. IJER covers the entire spectrum of energy from production to conversion, conservation, management, systems, technologies, etc. We encourage papers submissions aiming at better efficiency, cost improvements, more effective resource use, improved design and analysis, reduced environmental impact, and hence leading to better sustainability. IJER is concerned with the development and exploitation of both advanced traditional and new energy sources, systems, technologies and applications. Interdisciplinary subjects in the area of novel energy systems and applications are also encouraged. High-quality research papers are solicited in, but are not limited to, the following areas with innovative and novel contents: -Biofuels and alternatives -Carbon capturing and storage technologies -Clean coal technologies -Energy conversion, conservation and management -Energy storage -Energy systems -Hybrid/combined/integrated energy systems for multi-generation -Hydrogen energy and fuel cells -Hydrogen production technologies -Micro- and nano-energy systems and technologies -Nuclear energy -Renewable energies (e.g. geothermal, solar, wind, hydro, tidal, wave, biomass) -Smart energy system
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信