Date of Award

8-2025

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Degree Discipline

Electrical Engineering

Abstract

Supervisory and Data Acquisition (SADA) systems are an imperative component for the operation of intelligent power systems. In this study, control room duties were performed remotely through extended reality (XR) technology. Multiple monitor setups can be eliminated, and the use of peripheral devices was reduced. XR technology allows for the combination of real and digital environments, which will help to eliminate physical control room setups while enhancing the mobility and comfort of operators. The implementation of XR technology will provide enhancements in communications through built-in text chats, voice calls, video calls, and screen casting capabilities. The XR SADA system proposed utilized the Apple Vision Pro. For the SADA system to function properly, the off-grid power generation system must have the appropriate supporting infrastructure. This includes devices such as smart meters, inverters, sensors, and battery storage systems that can transmit grid data via Internet connectivity. The Apple Vision Pro headset accesses the online data servers of the Internet of Things (IoT) devices through an Internet web browser or device applications. Once accessed, the data windows may be configured according to the operator’s preference. That data is then exported and analyzed for the creation of real-time grid alerts, which provide notifications within the operator’s vision. The XR SADA system is designed to be easily setup and utilized, which will lead to faster response times, and improve the protection of the off-grid system.

Index Terms—Extended Reality (XR), solar power generation, Supervisory and Data Acquisition (SADA).

Committee Chair/Advisor

Penrose Cofie

Committee Co-Chair:

John Fuller

Committee Member

Justin Foreman

Committee Member

Anthony Hill

Committee Member

Kazeem Olanrewaju

Publisher

Prairie View A&M University

Rights

© 2021 Prairie View A & M University

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Date of Digitization

09/11/2024

Contributing Institution

J. B . Coleman Library

City of Publication

Prairie View

MIME Type

Application/PDF

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