TY - GEN
T1 - Hierarchical Operation of Flexible Building Microgrids for Distributed Critical Loads Resiliency
AU - Chamana, Manohar
AU - Schmitt, Konrad
AU - Bhatta, Rabindra
AU - Osman, Ilham
AU - Liyanage, Sanka
AU - Murshed, Mahtab
AU - Bayne, Stephen
AU - MacFie, Joshua
N1 - Funding Information:
ACKNOWLEDGMENT This material is based upon work supported by the US Department of Defense (DoD) under the Environmental Security Technology Certification Program (ESTCP) Award Number W912HQ20C0022.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Community-scale microgrids play an essential role in serving critical loads during emergency conditions, involving the operation of breakers, tie-switches, distributed energy resources (DERs), and loads. Electric loads are primarily considered as lumped loads without many granular levels of controls. Flexible buildings offer the central microgrid management system an opportunity to shed multiple noncritical loads at granular levels by adopting Internet-of-Things (IoT) based controls. This work presents a novel bi-level optimal sequence of operations for managing the controllable devices in microgrids to serve loads, based on a priority scheme in community scale-scale microgrids. The proposed methodology is formulated as a mixed-integer linear programming (MILP) model and adapts to various operating conditions. The proposed method is validated through case studies that are performed on the Banshee microgrid benchmark model.
AB - Community-scale microgrids play an essential role in serving critical loads during emergency conditions, involving the operation of breakers, tie-switches, distributed energy resources (DERs), and loads. Electric loads are primarily considered as lumped loads without many granular levels of controls. Flexible buildings offer the central microgrid management system an opportunity to shed multiple noncritical loads at granular levels by adopting Internet-of-Things (IoT) based controls. This work presents a novel bi-level optimal sequence of operations for managing the controllable devices in microgrids to serve loads, based on a priority scheme in community scale-scale microgrids. The proposed methodology is formulated as a mixed-integer linear programming (MILP) model and adapts to various operating conditions. The proposed method is validated through case studies that are performed on the Banshee microgrid benchmark model.
KW - Demand Response
KW - IoT-based flexible loads
KW - Microgrid Operations
KW - Resiliency
UR - http://www.scopus.com/inward/record.url?scp=85123301105&partnerID=8YFLogxK
U2 - 10.1109/RWS52686.2021.9611816
DO - 10.1109/RWS52686.2021.9611816
M3 - Conference contribution
AN - SCOPUS:85123301105
T3 - 2021 Resilience Week, RWS 2021 - Proceedings
BT - 2021 Resilience Week, RWS 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 18 October 2021 through 21 October 2021
ER -