Department of Electrical and Computer Engineering, Roy G. Perry College of Engineering, Prairie View A&M University, Prairie View, Texas 77446, United States of America.
World Journal of Advanced Engineering Technology and Sciences, 2025, 15(03), 1661–1672
Article DOI: 10.30574/wjaets.2025.15.3.1080
Received on 26 April 2025; revised on 11 June 2025; accepted on 13 June 2025
Supervisory Control and Data Acquisition (SCADA) systems are essential to the operation of intelligent off-grid power systems. In this study, extended reality (XR) technology is used, to perform control room duties remotely, in a combination of real and digital environments, thus eliminating multiple monitor setups, reducing peripheral devices, and enhancing mobility and comfort such as for operators in control room environments. The XR system enhances communications with built-in video, voice, and text chats, as well as screen casting capabilities. The Apple Vision Pro is utilized for the XR system. To execute the XR system, the off-grid power generation system incorporates the supporting intelligent infrastructure; this includes devices such as sensors, smart meters, inverters, and battery storage systems that connect and transmit data via the Internet. The headset of Apple Vision Pro can access the servers of IoT devices through direct applications or by web browser. Once opened, the data windows on server are configured as desired. This data is then analyzed and exported to create real-time grid alerts that produce notifications directly into the operator’s vision., The XR system allows for quicker response times and the overall protection of the off-grid power generation, can be easily setup and utilized.
Control Room; Smart Monitoring; Extended Reality; SCADA; Remote Monitoring
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Joseph M. Dowell, Penrose Cofie, Anthony Hill, John Fuller, Justin Foreman and Kazeem Olanrewaju. Supervisory control and data acquisition for localized grids in extended reality. World Journal of Advanced Engineering Technology and Sciences, 2025, 15(03), 1661-1672. Article DOI: https://doi.org/10.30574/wjaets.2025.15.3.1080.