Distribution Substation Dynamic Reconfiguration and Reinforcement-Digital Twin Model
Conference paper
Brown, R., Wickramarachchi, W., Ali, Z., Saleem, K. and Dudley-Mcevoy, S. (2023). Distribution Substation Dynamic Reconfiguration and Reinforcement-Digital Twin Model. IEEE Energy Conversion Congress and Exposition (ECCE). Center in Nashville, Tennessee | October 29 – November 2, 2023 29 Oct - 02 Nov 2023 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ECCE53617.2023.10362160
| Authors | Brown, R., Wickramarachchi, W., Ali, Z., Saleem, K. and Dudley-Mcevoy, S. |
|---|---|
| Type | Conference paper |
| Abstract | The proliferation of electric vehicles will increase demand and alter the load profiles on final distribution substations quicker than traditional reinforcement techniques can respond. As it is nontrivial to determine in advance, to street level granularity, where and when vehicles will charge, a more flexible approach to substation reinforcement is preferable to the existing rip-out-and-replace technique for an overloaded transformer. Distribution Substation Dynamic Reconfiguration (DSDR) combines reinforcement using parallel transformers with reconfiguration algorithms to flexibly operate the substation in the face of uncertain loading conditions, by dynamically switching transformers in and out of service. This paper presents a digital twin and a benchtop scale model of the DSDR substation for the development and evaluation of such algorithms, along with two algorithms for optimizing substation technical losses. Initial results show that on a single tested substation model, efficiency increased by 5.40% with Net-Zero Year 2050 load profiles versus traditional reinforcement. |
| Keywords | Substations , Heuristic algorithms , Net zero , Loading , Switches , Transformers , Digital twins |
| Year | 2023 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| ISSN | 2329-3748 |
| Digital Object Identifier (DOI) | https://doi.org/10.1109/ECCE53617.2023.10362160 |
| Accepted author manuscript | License File Access Level Open |
| Publication dates | |
| 29 Dec 2023 | |
| Publication process dates | |
| Accepted | 29 Oct 2023 |
| Deposited | 26 Feb 2024 |
| Web address (URL) of conference proceedings | https://ieeexplore.ieee.org/abstract/document/10362160/keywords#keywords |
| Additional information | Copyright 2024 IEEE - All rights reserved. |
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