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

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Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Date
2022-12-19
Major/Subject
Mcode
Degree programme
Language
en
Pages
14
14-26
Series
IEEE Open Journal of the Industrial Electronics Society, Volume 4
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.
Description
| openaire: EC/H2020/775970/EU//EN SGplusRegSys
Keywords
IEC Standards, Standards, Charging stations, Automation, Digital twins, Protocols, Mathematical models
Other note
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