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Quantum-Powered Battery Scheduling In Modern Distribution Grids, Diba Ehsani
Quantum-Powered Battery Scheduling In Modern Distribution Grids, Diba Ehsani
Electronic Theses and Dissertations
The rising need for exploiting a novel and evolved computation is an increasing concern in the power distribution system to address the exponential growth of distribution-connected devices. Scheduling numerous battery energy storage systems in an optimal way is one of the emerging challenges that will be more noticeable as the number of batteries, including residential, community, and vehicle batteries, increases in the grid. This thesis focuses on this topic and offers a necessary component in building the quantum-compatible distribution system of the future. Using a constrained quadratic model (CQM) on D-Wave’s hybrid solver as well as a binary quadratic model …
Data-Driven Approaches For Enhancing Power Grid Reliability, Behrouz Sohrabi
Data-Driven Approaches For Enhancing Power Grid Reliability, Behrouz Sohrabi
Electronic Theses and Dissertations
This thesis explores the transformative potential of data-driven approaches in addressing key operational and reliability issues in power systems. The first part of this thesis addresses a prevalent problem in power distribution networks: the accurate identification of load phases. This study develops a data-driven model leveraging consumption measurements from smart meters and corresponding substation data to reconstruct topology information in low-voltage distribution networks. The proposed model is extensively tested using a dataset with more than 5,000 real load profiles, demonstrating satisfactory performance for large-scale networks. The second part of the thesis pivots to a crucial safety concern: the risk and …