Digital Twin Simulation and Comparative Study to Understand the Microgrid Operation and Control

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.

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Publication Details

Published
2024-11-04
DOI
https://doi.org/10.1109/pecon62060.2024.10827482
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

Digital Twin Simulation and Comparative Study to Understand the Microgrid Operation and Control

Hitesh Datt Mathur, Aditya R. Gautam, Krishna Kumar Saini, Chinmay Yadav
Power Systems and Renewable Energy
article

Digital Twin Simulation and Comparative Study to Understand the Microgrid Operation and Control

Hitesh Datt Mathur, Aditya R. Gautam, Krishna Kumar Saini, Chinmay Yadav
article en

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.

Birla Institute of Technology and Science, Pilani (IN)
Openalex Percentile: Top 72%
Power Systems and Renewable Energy
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