Chathuranga D.W. Wanninayaka Mudiyanselage;Kazi N. Hasan;Arash Vahidnia;Mir Toufikur Rahman
{"title":"Spatio-Temporal and Correlation Modeling of EV Charging Data for Hosting Capacity Analysis","authors":"Chathuranga D.W. Wanninayaka Mudiyanselage;Kazi N. Hasan;Arash Vahidnia;Mir Toufikur Rahman","doi":"10.1109/TIA.2025.3576744","DOIUrl":null,"url":null,"abstract":"The growing number of residential Electric vehicles (EVs) are posing a significant challenge for grid operators around the world. This paper presents spatiotemporal (ST) modeling approach to address system uncertainties and copula theory to model correlations of EV charging demand with EV users’ travel parameters (such as EV departure time, trip distance, and EV arrival time) and solar PV generation. Copula theory is employed to represent the correlations between these parameters, validated using the Kolmogorov-Smirnov (KS) test and quantile-quantile (q-q) plots. The case study presents EV hosting capacity in an Australian distribution network, adapting the modeled EV charging demand with real-world measured load demand profiles. The network EV hosting capacity is determined subject to voltage violation risk (VVR), line overloading, and transformer capacity violation. According to the results, the EV hosting capacity was found to be limited to 25% EV penetration due to the transformer capacity limit primarily. However, the EV hosting capacity could reach 50% without violating the VVR limit. The simulation results also indicate that for the chosen test network and load profile, the EV hosting capacity is slightly higher on weekends than on weekdays of the simulation period.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 6","pages":"8722-8735"},"PeriodicalIF":4.5000,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Industry Applications","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/11025140/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
The growing number of residential Electric vehicles (EVs) are posing a significant challenge for grid operators around the world. This paper presents spatiotemporal (ST) modeling approach to address system uncertainties and copula theory to model correlations of EV charging demand with EV users’ travel parameters (such as EV departure time, trip distance, and EV arrival time) and solar PV generation. Copula theory is employed to represent the correlations between these parameters, validated using the Kolmogorov-Smirnov (KS) test and quantile-quantile (q-q) plots. The case study presents EV hosting capacity in an Australian distribution network, adapting the modeled EV charging demand with real-world measured load demand profiles. The network EV hosting capacity is determined subject to voltage violation risk (VVR), line overloading, and transformer capacity violation. According to the results, the EV hosting capacity was found to be limited to 25% EV penetration due to the transformer capacity limit primarily. However, the EV hosting capacity could reach 50% without violating the VVR limit. The simulation results also indicate that for the chosen test network and load profile, the EV hosting capacity is slightly higher on weekends than on weekdays of the simulation period.
期刊介绍:
The scope of the IEEE Transactions on Industry Applications includes all scope items of the IEEE Industry Applications Society, that is, the advancement of the theory and practice of electrical and electronic engineering in the development, design, manufacture, and application of electrical systems, apparatus, devices, and controls to the processes and equipment of industry and commerce; the promotion of safe, reliable, and economic installations; industry leadership in energy conservation and environmental, health, and safety issues; the creation of voluntary engineering standards and recommended practices; and the professional development of its membership.