基于分时电价的智能电网居民需求侧优先级管理

G. Muthuselvi, B. Saravanan
{"title":"基于分时电价的智能电网居民需求侧优先级管理","authors":"G. Muthuselvi, B. Saravanan","doi":"10.1109/i-PACT52855.2021.9696867","DOIUrl":null,"url":null,"abstract":"This paper proposes curbing peak demand during peak periods using consumer's priority-based load shifting. The response behaviour of each participant in DR is the vital factor of a successful solution to Demand-side management (DSM) problems in the power system. It provides consumption cost savings and smart utilization of electricity. Shifting techniques are the solution that improves the participation factor of the consumer in the DR program and is achieved by making bi-level communication between utility and Consumer. ToU (Time of Use) dynamic pricing schemes are considered for the analysis. Adaptive Differential Evolution Algorithm (ADEA) is used for the optimal scheduling of shiftable appliances efficiently.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Priority-based Residential Demand Side Management in Smart Grid Using ToU Pricing\",\"authors\":\"G. Muthuselvi, B. Saravanan\",\"doi\":\"10.1109/i-PACT52855.2021.9696867\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes curbing peak demand during peak periods using consumer's priority-based load shifting. The response behaviour of each participant in DR is the vital factor of a successful solution to Demand-side management (DSM) problems in the power system. It provides consumption cost savings and smart utilization of electricity. Shifting techniques are the solution that improves the participation factor of the consumer in the DR program and is achieved by making bi-level communication between utility and Consumer. ToU (Time of Use) dynamic pricing schemes are considered for the analysis. Adaptive Differential Evolution Algorithm (ADEA) is used for the optimal scheduling of shiftable appliances efficiently.\",\"PeriodicalId\":335956,\"journal\":{\"name\":\"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)\",\"volume\":\"63 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/i-PACT52855.2021.9696867\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/i-PACT52855.2021.9696867","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

本文提出利用基于用户优先级的负荷转移来抑制高峰时段的高峰需求。电力系统中各参与方的响应行为是成功解决电力系统需求侧管理问题的关键因素。它提供了消费成本节约和智能用电。转移技术是通过在电力公司和消费者之间建立双层通信来提高消费者参与DR计划的解决方案。在分析中考虑了ToU(使用时间)动态定价方案。采用自适应差分进化算法(ADEA)有效地解决了可移动设备的最优调度问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Priority-based Residential Demand Side Management in Smart Grid Using ToU Pricing
This paper proposes curbing peak demand during peak periods using consumer's priority-based load shifting. The response behaviour of each participant in DR is the vital factor of a successful solution to Demand-side management (DSM) problems in the power system. It provides consumption cost savings and smart utilization of electricity. Shifting techniques are the solution that improves the participation factor of the consumer in the DR program and is achieved by making bi-level communication between utility and Consumer. ToU (Time of Use) dynamic pricing schemes are considered for the analysis. Adaptive Differential Evolution Algorithm (ADEA) is used for the optimal scheduling of shiftable appliances efficiently.
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
×
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