设计多用途可再生能源混合发电厂的智能鲸算法

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Journal of Electrical Engineering & Technology Pub Date : 2024-05-09 DOI:10.1007/s42835-024-01920-w
Yichao Meng, Ze Ye, Shanshan Huang
{"title":"设计多用途可再生能源混合发电厂的智能鲸算法","authors":"Yichao Meng, Ze Ye, Shanshan Huang","doi":"10.1007/s42835-024-01920-w","DOIUrl":null,"url":null,"abstract":"<p>The creation of practical renewable energy sources has taken precedence in light of the world’s rising energy demand and environmental concerns. Renewable energy hybrid plants, which combine various renewable energy sources, present a viable approach to tackle both the issue of energy production and the environmental one. In this study, we offer the Intelligent Whale Algorithm (IWA), a unique optimization technique for designing and optimizing Renewable Energy Hybrid Plants (REHP) inspired by whale pods’ collective intelligence. We examine the method using a case study involving a Renewable Energy Hybrid plants system that includes a wind turbine, <span>\\( {H}_{2}\\)</span> tank, fuel cell (FC), batteries, diesel generator, electrolyzer and PV panels. This study highlights the value of the IWA in removing grid integration barriers for renewable energy sources and enhancing the energy industry. A helpful tool for constructing multi-utility hybrid renewable energy facilities has surfaced: the IWA.</p>","PeriodicalId":15577,"journal":{"name":"Journal of Electrical Engineering & Technology","volume":"42 1","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intelligent Whale Algorithm for the Design of Multi-Utility Renewable Energy Hybrid Plants\",\"authors\":\"Yichao Meng, Ze Ye, Shanshan Huang\",\"doi\":\"10.1007/s42835-024-01920-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The creation of practical renewable energy sources has taken precedence in light of the world’s rising energy demand and environmental concerns. Renewable energy hybrid plants, which combine various renewable energy sources, present a viable approach to tackle both the issue of energy production and the environmental one. In this study, we offer the Intelligent Whale Algorithm (IWA), a unique optimization technique for designing and optimizing Renewable Energy Hybrid Plants (REHP) inspired by whale pods’ collective intelligence. We examine the method using a case study involving a Renewable Energy Hybrid plants system that includes a wind turbine, <span>\\\\( {H}_{2}\\\\)</span> tank, fuel cell (FC), batteries, diesel generator, electrolyzer and PV panels. This study highlights the value of the IWA in removing grid integration barriers for renewable energy sources and enhancing the energy industry. A helpful tool for constructing multi-utility hybrid renewable energy facilities has surfaced: the IWA.</p>\",\"PeriodicalId\":15577,\"journal\":{\"name\":\"Journal of Electrical Engineering & Technology\",\"volume\":\"42 1\",\"pages\":\"\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Electrical Engineering & Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s42835-024-01920-w\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Electrical Engineering & Technology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s42835-024-01920-w","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

摘要

鉴于全球能源需求不断增长和环境问题日益突出,开发实用的可再生能源已成为当务之急。可再生能源混合发电厂结合了多种可再生能源,为解决能源生产和环境问题提供了一种可行的方法。在本研究中,我们提出了智能鲸鱼算法(IWA),这是一种独特的优化技术,用于设计和优化可再生能源混合发电厂(REHP),其灵感来自鲸鱼群的集体智慧。我们使用一个案例研究来检验该方法,该案例涉及一个可再生能源混合发电厂系统,其中包括风力涡轮机、({H}_{2}\) 储能罐、燃料电池 (FC)、电池、柴油发电机、电解器和光伏板。这项研究凸显了 IWA 在消除可再生能源并网障碍和促进能源产业发展方面的价值。一种有助于建造多公用事业混合可再生能源设施的工具已经出现:IWA。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

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
Intelligent Whale Algorithm for the Design of Multi-Utility Renewable Energy Hybrid Plants

The creation of practical renewable energy sources has taken precedence in light of the world’s rising energy demand and environmental concerns. Renewable energy hybrid plants, which combine various renewable energy sources, present a viable approach to tackle both the issue of energy production and the environmental one. In this study, we offer the Intelligent Whale Algorithm (IWA), a unique optimization technique for designing and optimizing Renewable Energy Hybrid Plants (REHP) inspired by whale pods’ collective intelligence. We examine the method using a case study involving a Renewable Energy Hybrid plants system that includes a wind turbine, \( {H}_{2}\) tank, fuel cell (FC), batteries, diesel generator, electrolyzer and PV panels. This study highlights the value of the IWA in removing grid integration barriers for renewable energy sources and enhancing the energy industry. A helpful tool for constructing multi-utility hybrid renewable energy facilities has surfaced: the IWA.

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
Journal of Electrical Engineering & Technology
Journal of Electrical Engineering & Technology ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
4.00
自引率
15.80%
发文量
321
审稿时长
3.8 months
期刊介绍: ournal of Electrical Engineering and Technology (JEET), which is the official publication of the Korean Institute of Electrical Engineers (KIEE) being published bimonthly, released the first issue in March 2006.The journal is open to submission from scholars and experts in the wide areas of electrical engineering technologies. The scope of the journal includes all issues in the field of Electrical Engineering and Technology. Included are techniques for electrical power engineering, electrical machinery and energy conversion systems, electrophysics and applications, information and controls.
期刊最新文献
Parameter Solution of Fractional Order PID Controller for Home Ventilator Based on Genetic-Ant Colony Algorithm Fault Detection of Flexible DC Grid Based on Empirical Wavelet Transform and WOA-CNN Aggregation and Bidding Strategy of Virtual Power Plant Power Management of Hybrid System Using Coronavirus Herd Immunity Optimizer Algorithm A Review on Power System Security Issues in the High Renewable Energy Penetration Environment
×
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