Learning Centre

Automatic Generation of Charging Point's Digital Twin for Virtual Commissioning of Their Automation Systems

 |  Login

Show simple item record

dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Galkin, Nikolai
dc.contributor.author Yang, Chen-Wei
dc.contributor.author Vyatkin, Valeriy
dc.date.accessioned 2023-02-01T09:11:51Z
dc.date.available 2023-02-01T09:11:51Z
dc.date.issued 2022-12-19
dc.identifier.citation Galkin , N , Yang , C-W & Vyatkin , V 2022 , ' Automatic Generation of Charging Point's Digital Twin for Virtual Commissioning of Their Automation Systems ' , IEEE Open Journal of the Industrial Electronics Society , vol. 4 , 9991890 , pp. 14-26 . https://doi.org/10.1109/OJIES.2022.3230214 en
dc.identifier.issn 2644-1284
dc.identifier.other PURE UUID: a2bf14ec-6243-4ac0-ad77-d1be72811d20
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/a2bf14ec-6243-4ac0-ad77-d1be72811d20
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85146236310&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/98984486/Automatic_Generation_of_Charging_Points_Digital_Twin_for_Virtual_Commissioning_of_Their_Automation_Systems.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/119554
dc.description | openaire: EC/H2020/775970/EU//EN SGplusRegSys
dc.description.abstract The wide propagation of electric vehicle (EV) charging infrastructure integrated into the energy distribution network poses numerous challenges for the engineering and control of the latter: the load dynamic characteristics become more unsteady, requiring more advanced control, predictions, and virtual commissioning. One step toward the automation of the design and simulation of new charging stations can be reached through the integration of the EV-specific standards and protocols with other widely spread electrical standards and, thereby, improving the compatibility between standards, increasing the reuse of the intelligent work results, and promoting the development of EVs’ infrastructure. A method for virtual commissioning of electrical charging stations is proposed, implemented, and tested in a form of a software tool in which the electrical system description from the widely used IEC 61850 standard is used as an input. The designed tool builds a digital twin of the charging station that consists of its Simulink model as well as two automatically generated communication code primitives using the open charge point protocol for control and management purposes over the autogenerated model. The generated digital twin can be used for virtual commissioning purposes. The application of the method is illustrated in a case study. en
dc.format.extent 14
dc.format.extent 14-26
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher IEEE
dc.relation info:eu-repo/grantAgreement/EC/H2020/775970/EU//EN SGplusRegSys
dc.relation.ispartofseries IEEE Open Journal of the Industrial Electronics Society en
dc.relation.ispartofseries Volume 4 en
dc.rights openAccess en
dc.title Automatic Generation of Charging Point's Digital Twin for Virtual Commissioning of Their Automation Systems en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Information Technologies in Industrial Automation
dc.contributor.department Department of Electrical Engineering and Automation en
dc.subject.keyword IEC Standards
dc.subject.keyword Standards
dc.subject.keyword Charging stations
dc.subject.keyword Automation
dc.subject.keyword Digital twins
dc.subject.keyword Protocols
dc.subject.keyword Mathematical models
dc.identifier.urn URN:NBN:fi:aalto-202302011904
dc.identifier.doi 10.1109/OJIES.2022.3230214
dc.type.version publishedVersion


Files in this item

Files Size Format View

There are no open access files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search archive


Advanced Search

article-iconSubmit a publication

Browse

Statistics