利用光伏电动汽车充电站优化降低电费的家庭智能能源管理系统

Qin Yan, Xiaofan Tu
{"title":"利用光伏电动汽车充电站优化降低电费的家庭智能能源管理系统","authors":"Qin Yan, Xiaofan Tu","doi":"10.1109/ACPEE53904.2022.9783636","DOIUrl":null,"url":null,"abstract":"In order to achieve the goal of \"Carbon Peak Reduction and Carbon Neutrality\" and reduce the cost of home electricity consumption, this paper proposes a home smart energy management system (HSEMS), which optimizes home energy consumption by utilizing the photovoltaic-powered electric vehicles charging station. While ensuring the daily energy demand of home load and considering the charging/discharging demand of electric vehicles, the HSEMS energy consumption model and cost reduction strategy are implemented based on a four-stage optimization algorithm. In the proposed strategy, the profit is gained by optimally coordinating the different types of household load, the EV energy storage, parked electric vehicles charging station and the roof PV generation. Through studying the cases, the electricity cost using conventional strategy and the proposed strategy are compared and effectiveness of the proposed strategy to benefit the electricity users by saving cost and making profit is validated.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Home Smart Energy Management System for Optimized Electricity Cost Reduction Using Photovoltaic-Powered EV Charging Station\",\"authors\":\"Qin Yan, Xiaofan Tu\",\"doi\":\"10.1109/ACPEE53904.2022.9783636\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to achieve the goal of \\\"Carbon Peak Reduction and Carbon Neutrality\\\" and reduce the cost of home electricity consumption, this paper proposes a home smart energy management system (HSEMS), which optimizes home energy consumption by utilizing the photovoltaic-powered electric vehicles charging station. While ensuring the daily energy demand of home load and considering the charging/discharging demand of electric vehicles, the HSEMS energy consumption model and cost reduction strategy are implemented based on a four-stage optimization algorithm. In the proposed strategy, the profit is gained by optimally coordinating the different types of household load, the EV energy storage, parked electric vehicles charging station and the roof PV generation. Through studying the cases, the electricity cost using conventional strategy and the proposed strategy are compared and effectiveness of the proposed strategy to benefit the electricity users by saving cost and making profit is validated.\",\"PeriodicalId\":118112,\"journal\":{\"name\":\"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACPEE53904.2022.9783636\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACPEE53904.2022.9783636","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

为了实现“碳降峰、碳中和”的目标,降低家庭用电成本,本文提出了一种家庭智能能源管理系统(HSEMS),利用光伏电动汽车充电站优化家庭能耗。在保证家庭负荷日常能源需求的同时,考虑电动汽车充放电需求,基于四阶段优化算法实现HSEMS能耗模型和成本降低策略。在本文提出的策略中,通过优化协调不同类型的家庭负荷、电动汽车储能、停放电动汽车充电站和屋顶光伏发电来获得利润。通过案例研究,比较了采用常规策略和提出的策略的电力成本,验证了提出的策略通过节约成本和实现利润而使用户受益的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Home Smart Energy Management System for Optimized Electricity Cost Reduction Using Photovoltaic-Powered EV Charging Station
In order to achieve the goal of "Carbon Peak Reduction and Carbon Neutrality" and reduce the cost of home electricity consumption, this paper proposes a home smart energy management system (HSEMS), which optimizes home energy consumption by utilizing the photovoltaic-powered electric vehicles charging station. While ensuring the daily energy demand of home load and considering the charging/discharging demand of electric vehicles, the HSEMS energy consumption model and cost reduction strategy are implemented based on a four-stage optimization algorithm. In the proposed strategy, the profit is gained by optimally coordinating the different types of household load, the EV energy storage, parked electric vehicles charging station and the roof PV generation. Through studying the cases, the electricity cost using conventional strategy and the proposed strategy are compared and effectiveness of the proposed strategy to benefit the electricity users by saving cost and making profit is validated.
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