Energy management in microgrids considering the demand response in the presence of distributed generation resources on the IoT platform

IF 3.1 4区 工程技术 Q3 ENERGY & FUELS Energy Sources Part B-Economics Planning and Policy Pub Date : 2022-02-19 DOI:10.1080/15567249.2022.2038729
Amirhossein Bolurian, H. Akbari, T. Daemi, S. A. Mirjalily, S. Mousavi
{"title":"Energy management in microgrids considering the demand response in the presence of distributed generation resources on the IoT platform","authors":"Amirhossein Bolurian, H. Akbari, T. Daemi, S. A. Mirjalily, S. Mousavi","doi":"10.1080/15567249.2022.2038729","DOIUrl":null,"url":null,"abstract":"ABSTRACT Existing electricity networks do not have information about their endpoints due to their hierarchical structure. Internet of things technology allows two-way communication with customers. This work proposes an energy management system for optimal planning of a microgrid, considering demand response and uncertainties on the internet of things framework. The planning problem is solved using the first and the second-level Benders decomposition method. Then, the model third level is developed and optimized by genetic-fuzzy algorithm. For energy management in the internet of things platform, first the consumers are clustered based on their consumption by C-Means algorithm and then the network sensor energy consumption is optimized by genetic-fuzzy algorithm. To choose the optimal solution, a non-dominant fuzzy decision process beam is adopted. Based on the numerical results, the developed model outperforms the two-level model as well as the three-level model that uses particle swarm optimization.","PeriodicalId":51247,"journal":{"name":"Energy Sources Part B-Economics Planning and Policy","volume":"88 1","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2022-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Sources Part B-Economics Planning and Policy","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/15567249.2022.2038729","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 3

Abstract

ABSTRACT Existing electricity networks do not have information about their endpoints due to their hierarchical structure. Internet of things technology allows two-way communication with customers. This work proposes an energy management system for optimal planning of a microgrid, considering demand response and uncertainties on the internet of things framework. The planning problem is solved using the first and the second-level Benders decomposition method. Then, the model third level is developed and optimized by genetic-fuzzy algorithm. For energy management in the internet of things platform, first the consumers are clustered based on their consumption by C-Means algorithm and then the network sensor energy consumption is optimized by genetic-fuzzy algorithm. To choose the optimal solution, a non-dominant fuzzy decision process beam is adopted. Based on the numerical results, the developed model outperforms the two-level model as well as the three-level model that uses particle swarm optimization.
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
考虑物联网平台上分布式发电资源存在时需求响应的微电网能源管理
现有的电力网络由于其分层结构而没有关于其端点的信息。物联网技术可以实现与客户的双向沟通。本研究提出了一种用于微电网优化规划的能源管理系统,考虑了物联网框架下的需求响应和不确定性。采用一级和二级Benders分解法求解规划问题。然后,利用遗传模糊算法对模型第三层进行开发和优化。对于物联网平台的能源管理,首先采用C-Means算法对消费者的能耗进行聚类,然后采用遗传模糊算法对网络传感器的能耗进行优化。为了选择最优解,采用非优势模糊决策过程束。数值结果表明,所建立的模型优于采用粒子群优化的两层模型和三层模型。
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
CiteScore
6.80
自引率
12.80%
发文量
42
审稿时长
6-12 weeks
期刊介绍: 12 issues per year Abstracted and/or indexed in: Applied Science & Technology Index; API Abstracts/Literature; Automatic Subject Index Citation; BIOSIS Previews; Cabell’s Directory of Publishing Opportunities in Economics and Finance; Chemical Abstracts; CSA Aquatic Science & Fisheries Abstracts; CSA Environmental Sciences & Pollution Management Database; CSA Pollution Abstracts; Current Contents/Engineering, Technology & Applied Sciences; Directory of Industry Data Sources; Economic Abstracts; Electrical and Electronics Abstracts; Energy Information Abstracts; Energy Research Abstracts; Engineering Index Monthly; Environmental Abstracts; Environmental Periodicals Bibliography (EPB); International Abstracts in Operations Research; Operations/Research/Management Science Abstracts; Petroleum Abstracts; Physikalische Berichte; and Science Citation Index. Taylor & Francis make every effort to ensure the accuracy of all the information (the "Content") contained in our publications. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Taylor & Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to, or arising out of the use of the Content. Terms & Conditions of access and use can be found at http://www.tandfonline.com/page/terms-and-conditions .
期刊最新文献
Prediction of natural gas demand by considering implications of energy-related policies: The case of Türkiye Towards 2050 net zero carbon infrastructure: a critical review of key decarbonization challenges in the domestic heating sector in the UK The impact of the oil price on mineable and non-mineable cryptocurrencies A comprehensive model to explain consumers’ purchasing intention of energy-efficient household appliances: A case study in China Techno-economic assessment of low-carbon hydrogen exports from the Middle East to the Asia-Pacific, and Europe
×
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