考虑电动汽车行驶相关性的随机安全约束单元承诺

Aiqiang Pan, Xiaolin Ge, Yunpeng Wang, C. Pei, Shu Xia
{"title":"考虑电动汽车行驶相关性的随机安全约束单元承诺","authors":"Aiqiang Pan, Xiaolin Ge, Yunpeng Wang, C. Pei, Shu Xia","doi":"10.1109/ISGT-Asia.2019.8881716","DOIUrl":null,"url":null,"abstract":"Considering the correlation characteristics of electric vehicles’ driving, a stochastic security constraint unit commitment (SSCUC) model is established. To depict the correlation of the departure time, arrival time and daily mileage of EV, the Copula function is employed to generate relevant vehicle driving data for various types EVs. And the network constraint is introduced in this model, so that the charging and discharging scheduling plan of electric vehicle (EV) in each period can be reasonably distributed to the network nodes, and the system security is guaranteed. To deal with the complexity and non-linearity of the stochastic characteristics model with EVs, this issue is transformed into a mixed integer linear programming model and then solved by using CPLEX. Results show that there is a correlation of the stochastic characteristics of EV’s driving, and the system reliability is improved by adding network power flow constraint to the model.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Stochastic Security Constraint Unit Commitment Considering the Correlation of Electric Vehicles’ Driving\",\"authors\":\"Aiqiang Pan, Xiaolin Ge, Yunpeng Wang, C. Pei, Shu Xia\",\"doi\":\"10.1109/ISGT-Asia.2019.8881716\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Considering the correlation characteristics of electric vehicles’ driving, a stochastic security constraint unit commitment (SSCUC) model is established. To depict the correlation of the departure time, arrival time and daily mileage of EV, the Copula function is employed to generate relevant vehicle driving data for various types EVs. And the network constraint is introduced in this model, so that the charging and discharging scheduling plan of electric vehicle (EV) in each period can be reasonably distributed to the network nodes, and the system security is guaranteed. To deal with the complexity and non-linearity of the stochastic characteristics model with EVs, this issue is transformed into a mixed integer linear programming model and then solved by using CPLEX. Results show that there is a correlation of the stochastic characteristics of EV’s driving, and the system reliability is improved by adding network power flow constraint to the model.\",\"PeriodicalId\":257974,\"journal\":{\"name\":\"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISGT-Asia.2019.8881716\",\"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 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGT-Asia.2019.8881716","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

考虑电动汽车行驶的相关性特点,建立了随机安全约束单元承诺(scuc)模型。为了描述电动汽车出发时间、到达时间与日行驶里程之间的相关性,采用Copula函数生成各类电动汽车的相关车辆行驶数据。在该模型中引入网络约束,使电动汽车各时段的充放电调度计划能够合理地分配到网络节点上,保证了系统的安全性。针对电动汽车随机特性模型的复杂性和非线性,将该问题转化为混合整数线性规划模型,并利用CPLEX进行求解。结果表明,电动汽车行驶的随机特性之间存在相关性,在模型中加入电网潮流约束可以提高系统的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stochastic Security Constraint Unit Commitment Considering the Correlation of Electric Vehicles’ Driving
Considering the correlation characteristics of electric vehicles’ driving, a stochastic security constraint unit commitment (SSCUC) model is established. To depict the correlation of the departure time, arrival time and daily mileage of EV, the Copula function is employed to generate relevant vehicle driving data for various types EVs. And the network constraint is introduced in this model, so that the charging and discharging scheduling plan of electric vehicle (EV) in each period can be reasonably distributed to the network nodes, and the system security is guaranteed. To deal with the complexity and non-linearity of the stochastic characteristics model with EVs, this issue is transformed into a mixed integer linear programming model and then solved by using CPLEX. Results show that there is a correlation of the stochastic characteristics of EV’s driving, and the system reliability is improved by adding network power flow constraint to the model.
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