TY - GEN
T1 - Networked Microgrids for Improved Resilient Operation
T2 - 2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023
AU - Ferrari, Maximiliano
AU - Olama, Mohammed
AU - Sundararajan, Aditya
AU - Chen, Yang
AU - Ollis, Ben
AU - Liu, Guodong
AU - Arellano, Cynthia
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This paper presents a case study of a network microgrid orchestrator designed to allow coordinated operation of microgrids. Through Control Hardware in the Loop (CHIL), the proposed microgrid orchestrator was validated using, as case study two community-owned microgrids in Adjuntas, Puerto Rico. These two microgrids in Adjuntas were designed to provide affordable and reliable access to electricity to 14 businesses located in the town square. In its current design, these two microgrids operate independently from each other. This paper studies how networking them would increase their resiliency metrics while operating as an island. A distributed optimization is implemented in the microgrid orchestrator due to its superior scalability compared to centralized approach as well as to maintain data privacy. Two operational modes are considered in this study to showcase the advantages of networking microgrids: a) normal island, and b) degraded island. CHIL simulations are performed to validate the proposed microgrid orchestrator. CHIL results show meaningful resiliency improvements obtained by networking microgrids during contingencies such as loss of PV generation.
AB - This paper presents a case study of a network microgrid orchestrator designed to allow coordinated operation of microgrids. Through Control Hardware in the Loop (CHIL), the proposed microgrid orchestrator was validated using, as case study two community-owned microgrids in Adjuntas, Puerto Rico. These two microgrids in Adjuntas were designed to provide affordable and reliable access to electricity to 14 businesses located in the town square. In its current design, these two microgrids operate independently from each other. This paper studies how networking them would increase their resiliency metrics while operating as an island. A distributed optimization is implemented in the microgrid orchestrator due to its superior scalability compared to centralized approach as well as to maintain data privacy. Two operational modes are considered in this study to showcase the advantages of networking microgrids: a) normal island, and b) degraded island. CHIL simulations are performed to validate the proposed microgrid orchestrator. CHIL results show meaningful resiliency improvements obtained by networking microgrids during contingencies such as loss of PV generation.
KW - ADMM
KW - Networked microgrids
KW - distributed optimization
KW - energy resiliency
KW - microgrid orchestrator
KW - microgrids
UR - http://www.scopus.com/inward/record.url?scp=85180013736&partnerID=8YFLogxK
U2 - 10.1109/ISGT-LA56058.2023.10328283
DO - 10.1109/ISGT-LA56058.2023.10328283
M3 - Conference contribution
AN - SCOPUS:85180013736
T3 - 2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023
SP - 150
EP - 154
BT - 2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 6 November 2023 through 9 November 2023
ER -