基于充电协调的电动汽车综合配电网能量管理策略

T. Faghihi, Shahab Sabzi, L. Vajta
{"title":"基于充电协调的电动汽车综合配电网能量管理策略","authors":"T. Faghihi, Shahab Sabzi, L. Vajta","doi":"10.1109/FES57669.2023.10182883","DOIUrl":null,"url":null,"abstract":"This paper proposes a smart charging coordination strategy for electric vehicles (EVs) in a low-voltage (LV) distribution network. The strategy employs an energy management approach that considers the price sensitivity of EV drivers. Three priority groups are specified based on the EV’s state of charge (SoC) level: high-priority, low-priority, and normal-priority. Different time slots for charging are offered to drivers at varying prices, designated as red, blue, and green time zones. The proposed approach begins with a power flow program that checks all constraints before an EV can be permanently placed on a charging node. An objective function is formulated to minimize production costs while ensuring that the constraints on bus voltages and maximum allowed power consumption are met. Simulation results demonstrate the validity of the proposed algorithm in shifting loads while satisfying all network and EV constraints.","PeriodicalId":165790,"journal":{"name":"2023 International Conference on Future Energy Solutions (FES)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Energy Management Strategy based Charging Coordination for Electric Vehicle Integrated Distribution Grid\",\"authors\":\"T. Faghihi, Shahab Sabzi, L. Vajta\",\"doi\":\"10.1109/FES57669.2023.10182883\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a smart charging coordination strategy for electric vehicles (EVs) in a low-voltage (LV) distribution network. The strategy employs an energy management approach that considers the price sensitivity of EV drivers. Three priority groups are specified based on the EV’s state of charge (SoC) level: high-priority, low-priority, and normal-priority. Different time slots for charging are offered to drivers at varying prices, designated as red, blue, and green time zones. The proposed approach begins with a power flow program that checks all constraints before an EV can be permanently placed on a charging node. An objective function is formulated to minimize production costs while ensuring that the constraints on bus voltages and maximum allowed power consumption are met. Simulation results demonstrate the validity of the proposed algorithm in shifting loads while satisfying all network and EV constraints.\",\"PeriodicalId\":165790,\"journal\":{\"name\":\"2023 International Conference on Future Energy Solutions (FES)\",\"volume\":\"76 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Future Energy Solutions (FES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FES57669.2023.10182883\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Future Energy Solutions (FES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FES57669.2023.10182883","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

提出了一种低压配电网中电动汽车智能充电协调策略。该策略采用了一种能源管理方法,考虑了电动汽车司机对价格的敏感性。根据电动汽车的充电状态(SoC)级别指定了三个优先级组:高优先级、低优先级和正常优先级。以不同的价格为司机提供不同的充电时段,被划分为红色、蓝色和绿色时区。提出的方法从一个功率流程序开始,该程序在电动汽车可以永久放置在充电节点之前检查所有约束条件。在满足母线电压约束和最大允许功耗约束的前提下,建立生产成本最小化的目标函数。仿真结果表明,该算法在满足所有网络约束和EV约束的情况下是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy Management Strategy based Charging Coordination for Electric Vehicle Integrated Distribution Grid
This paper proposes a smart charging coordination strategy for electric vehicles (EVs) in a low-voltage (LV) distribution network. The strategy employs an energy management approach that considers the price sensitivity of EV drivers. Three priority groups are specified based on the EV’s state of charge (SoC) level: high-priority, low-priority, and normal-priority. Different time slots for charging are offered to drivers at varying prices, designated as red, blue, and green time zones. The proposed approach begins with a power flow program that checks all constraints before an EV can be permanently placed on a charging node. An objective function is formulated to minimize production costs while ensuring that the constraints on bus voltages and maximum allowed power consumption are met. Simulation results demonstrate the validity of the proposed algorithm in shifting loads while satisfying all network and EV constraints.
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:604180095
Book学术官方微信