Reconfiguration and Real-Time Operation of Networked Microgrids Under Load Uncertainty
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , , , , |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866912637104685056 |
|---|---|
| author | Moring, Hannah Poolla, Bala Kameshwar Nagarajan, Harsha Mathieu, Johanna L. Bernstein, Andrey Fobes, David M. |
| author_facet | Moring, Hannah Poolla, Bala Kameshwar Nagarajan, Harsha Mathieu, Johanna L. Bernstein, Andrey Fobes, David M. |
| contents | Distribution networks are increasingly exposed to threats such as extreme weather, aging infrastructure, and cyber risks--resulting in more frequent contingencies and outages, a trend likely to persist. Microgrids, particularly dynamic networked microgrids (DNMGs), offer a promising solution to mitigate the impacts of such contingencies and enhance resiliency. However, distribution networks present unique challenges due to their unbalanced nature and the inherent uncertainty in both loads and generation. This paper builds upon our prior work on the two-stage mixed-integer robust optimization problem for configuring DNMGs, improving the solve time and scalability. Furthermore, we present a model-free, real-time optimal power flow algorithm to manage DNMG operations in the time between reconfigurations. A case study on a realistic network based on part of the San Francisco Bay Area demonstrates the scalability of both approaches. The case study also illustrates the ability to maintain power flow feasibility as loads vary and operating conditions change when the methods are used in tandem. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_15084 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Reconfiguration and Real-Time Operation of Networked Microgrids Under Load Uncertainty Moring, Hannah Poolla, Bala Kameshwar Nagarajan, Harsha Mathieu, Johanna L. Bernstein, Andrey Fobes, David M. Optimization and Control Distribution networks are increasingly exposed to threats such as extreme weather, aging infrastructure, and cyber risks--resulting in more frequent contingencies and outages, a trend likely to persist. Microgrids, particularly dynamic networked microgrids (DNMGs), offer a promising solution to mitigate the impacts of such contingencies and enhance resiliency. However, distribution networks present unique challenges due to their unbalanced nature and the inherent uncertainty in both loads and generation. This paper builds upon our prior work on the two-stage mixed-integer robust optimization problem for configuring DNMGs, improving the solve time and scalability. Furthermore, we present a model-free, real-time optimal power flow algorithm to manage DNMG operations in the time between reconfigurations. A case study on a realistic network based on part of the San Francisco Bay Area demonstrates the scalability of both approaches. The case study also illustrates the ability to maintain power flow feasibility as loads vary and operating conditions change when the methods are used in tandem. |
| title | Reconfiguration and Real-Time Operation of Networked Microgrids Under Load Uncertainty |
| topic | Optimization and Control |
| url | https://arxiv.org/abs/2504.15084 |