2026-05-21T11:45:48Zhttps://keep.lib.asu.edu/oai/requestoai:keep.lib.asu.edu:node-2003392025-06-09T22:54:21Zoai_pmh:alloai_pmh:repo_items200339
https://hdl.handle.net/2286/R.2.N.200339
http://rightsstatements.org/vocab/InC/1.0/
http://creativecommons.org/licenses/by-nc-sa/4.0
2025-05
35 pages
Jahan, Zara
Wu, Meng
Khorsand, Mojdeh
Barrett, The Honors College
Electrical Engineering Program
The efficient management of power distribution infrastructure is critical for ensuring reliable electricity delivery. This thesis presents SmartPower Manager, a smart data collection and modeling mobile application designed to streamline the process of tracking and modeling power system components in distribution networks. SmartPower Manager utilizes QR code nameplate labels attached to newly installed equipment to capture key equipment specifications. The application processes these QR codes and automatically updates a centralized database, which contains data about equipment location, model information, and operational parameters. Furthermore, the system integrates with OpenDSS by automatically updating OpenDSS models with the new equipment. The system was developed using Python for backend processing and Flet for the frontend interface.
Power System Modeling
OpenDSS
Distribution networks
Automated modeling
Python
DER management
Mobile Data Collection
Asset tracking
SmartPower Manager: A Smart Data Collection and Modeling Tool for DER Management