考虑需求响应的商业建筑ESS最优调度

Yunsun Jin, Minsu Park, Dongjun Won
{"title":"考虑需求响应的商业建筑ESS最优调度","authors":"Yunsun Jin, Minsu Park, Dongjun Won","doi":"10.1109/IYCE45807.2019.8991566","DOIUrl":null,"url":null,"abstract":"The need for ESS is emphasized in order to efficiently manage the demand of industrial customers, which occupies a large portion of the total power consumption. Conventional industrial customers installed ESS to reduce electric power charges through self-load management. However, industrial customers with ESS can gain additional revenue through market participation in addition to their own load management as energy new businesses expand. In this paper the 24-hour optimal scheduling algorithm of Energy Storage System(ESS) considering Demand Response(DR) to minimize the electricity charge for industrial customers. Two-stage scheduling proposes for the minimization of the electricity charge. As a result, ESS output power is scheduled to minimize the total daily costs. And, it is configured to reschedule in response to a demand response signal at a specific time. The simulation results show that the proposed scheduling increases the benefits of ESS installation by successfully participating in the DR market.","PeriodicalId":226881,"journal":{"name":"2019 7th International Youth Conference on Energy (IYCE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"ESS Optimal Scheduling considering Demand Response For commercial Buildings\",\"authors\":\"Yunsun Jin, Minsu Park, Dongjun Won\",\"doi\":\"10.1109/IYCE45807.2019.8991566\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The need for ESS is emphasized in order to efficiently manage the demand of industrial customers, which occupies a large portion of the total power consumption. Conventional industrial customers installed ESS to reduce electric power charges through self-load management. However, industrial customers with ESS can gain additional revenue through market participation in addition to their own load management as energy new businesses expand. In this paper the 24-hour optimal scheduling algorithm of Energy Storage System(ESS) considering Demand Response(DR) to minimize the electricity charge for industrial customers. Two-stage scheduling proposes for the minimization of the electricity charge. As a result, ESS output power is scheduled to minimize the total daily costs. And, it is configured to reschedule in response to a demand response signal at a specific time. The simulation results show that the proposed scheduling increases the benefits of ESS installation by successfully participating in the DR market.\",\"PeriodicalId\":226881,\"journal\":{\"name\":\"2019 7th International Youth Conference on Energy (IYCE)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 7th International Youth Conference on Energy (IYCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IYCE45807.2019.8991566\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 7th International Youth Conference on Energy (IYCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IYCE45807.2019.8991566","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

强调ESS的必要性是为了有效地管理工业客户的需求,这占据了总功耗的很大一部分。传统工业客户安装ESS是为了通过自负荷管理来减少电费。然而,随着能源新业务的扩展,拥有ESS的工业客户除了自己的负荷管理之外,还可以通过市场参与获得额外的收入。本文研究了考虑需求响应(DR)的储能系统24小时最优调度算法,以实现工业用户用电费用的最小化。两阶段调度提出了电费最少的方案。因此,ESS输出功率被安排为最小化每日总成本。并且,它被配置为在特定时间响应需求响应信号而重新调度。仿真结果表明,所提出的调度方案通过成功参与容灾市场,提高了ESS安装的效益。
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
ESS Optimal Scheduling considering Demand Response For commercial Buildings
The need for ESS is emphasized in order to efficiently manage the demand of industrial customers, which occupies a large portion of the total power consumption. Conventional industrial customers installed ESS to reduce electric power charges through self-load management. However, industrial customers with ESS can gain additional revenue through market participation in addition to their own load management as energy new businesses expand. In this paper the 24-hour optimal scheduling algorithm of Energy Storage System(ESS) considering Demand Response(DR) to minimize the electricity charge for industrial customers. Two-stage scheduling proposes for the minimization of the electricity charge. As a result, ESS output power is scheduled to minimize the total daily costs. And, it is configured to reschedule in response to a demand response signal at a specific time. The simulation results show that the proposed scheduling increases the benefits of ESS installation by successfully participating in the DR market.
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
自引率
0.00%
发文量
0
期刊最新文献
Sizing DC-link Capacitors in Complex Automotive High Voltage Systems Industrial Application of Battery Energy Storage Systems: Peak shaving Sensorless Vector Control of AC Drives One-Dimensional Modelling of Piezo-Structure Interaction for DeBonding Configuration using Electro-Mechanical Impedance (EMI) Techniques Complex energy renovation of a single-family house in Slovakia
×
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