TY - GEN
T1 - Modeling of a Networked Community Microgrid with High Solar Penetration Considering Control Dynamics of Inverter-Based Resources
AU - Li, Dingrui
AU - Su, Yu
AU - Wang, Fred
AU - Olama, Mohammed
AU - Ferrari, Maximiliano
AU - Ollis, Ben
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Microgrids help facilitate the integration of renewable energy in distribution-level grids and increase the resilience of the electric grid to extreme weather, especially in rural areas. Compared to traditional microgrids, a networked microgrid leverages multiple grid-forming sources to form a potential meshed grid and is more flexible in operation. This paper demonstrates the simulation modeling of an actual networked microgrid located in Adjuntas, Puerto Rico. The model contains representations of power inverters that connect the battery energy storage systems and photovoltaic generation systems to the networked microgrid and is capable of simulating fast grid transients as well as long-term operation of the networked microgrid. The modeling technique for power inverters allows the time-efficient simulation of the microgrid with a minimal penalty on model accuracy.
AB - Microgrids help facilitate the integration of renewable energy in distribution-level grids and increase the resilience of the electric grid to extreme weather, especially in rural areas. Compared to traditional microgrids, a networked microgrid leverages multiple grid-forming sources to form a potential meshed grid and is more flexible in operation. This paper demonstrates the simulation modeling of an actual networked microgrid located in Adjuntas, Puerto Rico. The model contains representations of power inverters that connect the battery energy storage systems and photovoltaic generation systems to the networked microgrid and is capable of simulating fast grid transients as well as long-term operation of the networked microgrid. The modeling technique for power inverters allows the time-efficient simulation of the microgrid with a minimal penalty on model accuracy.
KW - Networked microgrid
KW - control dynamics
KW - inverter-based resources
KW - microgrid modeling
UR - http://www.scopus.com/inward/record.url?scp=85180005397&partnerID=8YFLogxK
U2 - 10.1109/ISGT-LA56058.2023.10328324
DO - 10.1109/ISGT-LA56058.2023.10328324
M3 - Conference contribution
AN - SCOPUS:85180005397
T3 - 2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023
SP - 120
EP - 124
BT - 2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023
Y2 - 6 November 2023 through 9 November 2023
ER -