Aiqiang Pan, Xiaolin Ge, Yunpeng Wang, C. Pei, Shu Xia
{"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}
引用次数: 2
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.