Digital twin simulation and comparative study to understand the microgrid operation and control

dc.contributor.authorMathur, Hitesh Datt
dc.contributor.authorGautam, Aditya R.
dc.date.accessioned2025-05-20T06:34:55Z
dc.date.available2025-05-20T06:34:55Z
dc.date.issued2025-01
dc.description.abstractSolar photovoltaic (PV) microgrid (MG) systems are the future of the growing electrical industry. However, these systems have a dependency on the environment. To mitigate this dependency, better control and technologies are required. The digital twin (DT) technology can be utilized to make these MGs more sustainable and promising. In this paper, the DT of the installed MG has been developed on the Simulink platform. The irradiance data, and load power consumption data have been used as input for the DT of the MG. Moreover, it is found that the DT of the MG is working stably with the given data. On the output side, the grid power data of the physical MG has been compared with the output grid power of DT. Further, it has been found that the solar power generation, load power consumption data, and grid power data have matched the results of the physical MG.en_US
dc.identifier.urihttps://ieeexplore.ieee.org/abstract/document/10827482
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/18957
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectEEEen_US
dc.subjectDigital twin (DT)en_US
dc.subjectMicrogriden_US
dc.subjectGrid poweren_US
dc.subjectControl algorithmen_US
dc.titleDigital twin simulation and comparative study to understand the microgrid operation and controlen_US
dc.typeArticleen_US

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