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

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dc.contributor.author Mathur, Hitesh Datt
dc.contributor.author Gautam, Aditya R.
dc.date.accessioned 2025-05-20T06:34:55Z
dc.date.available 2025-05-20T06:34:55Z
dc.date.issued 2025-01
dc.identifier.uri https://ieeexplore.ieee.org/abstract/document/10827482
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/18957
dc.description.abstract Solar 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.language.iso en en_US
dc.publisher IEEE en_US
dc.subject EEE en_US
dc.subject Digital twin (DT) en_US
dc.subject Microgrid en_US
dc.subject Grid power en_US
dc.subject Control algorithm en_US
dc.title Digital twin simulation and comparative study to understand the microgrid operation and control en_US
dc.type Article en_US


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