TY - GEN
T1 - Model Reduction for Inverter-Dominated Networked Microgrids with Grid-Forming Inverters
AU - Du, Yuhua
AU - Lu, Xiaonan
AU - Zhao, Dongbo
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/10/13
Y1 - 2021/10/13
N2 - The increasing penetration of grid-forming inverters has significantly complicated the operating characteristics of modern power grids, which calls for reduced-order models that preserves the system's main responses for large-scale analysis. This paper presents a model reduction approach to study the dynamic responses of inverter-dominated networked microgrids (MGs) under disturbance. Coherency-based aggregation technique is used to identify the study area and external area. The study area is modeled in detail while the external area is successively simplified. Specifically, the reduced-order model of the external area is first simplified by developing reduced-order models of inverter and network; it is then further simplified using linear truncation. To replicate the interactions between the two areas, the external area is aggregated into a controllable voltage source whose operating states are collaboratively determined by the states from both areas. The developed reduced-order model represents a closed-loop simulation that combines both linear model reduction for reduced system dimensions and detailed nonlinear model for better accuracy. At last, the performance of the developed model reduction approach is validated using time-domain simulation.
AB - The increasing penetration of grid-forming inverters has significantly complicated the operating characteristics of modern power grids, which calls for reduced-order models that preserves the system's main responses for large-scale analysis. This paper presents a model reduction approach to study the dynamic responses of inverter-dominated networked microgrids (MGs) under disturbance. Coherency-based aggregation technique is used to identify the study area and external area. The study area is modeled in detail while the external area is successively simplified. Specifically, the reduced-order model of the external area is first simplified by developing reduced-order models of inverter and network; it is then further simplified using linear truncation. To replicate the interactions between the two areas, the external area is aggregated into a controllable voltage source whose operating states are collaboratively determined by the states from both areas. The developed reduced-order model represents a closed-loop simulation that combines both linear model reduction for reduced system dimensions and detailed nonlinear model for better accuracy. At last, the performance of the developed model reduction approach is validated using time-domain simulation.
KW - Balanced truncation
KW - grid-forming inverter
KW - inverter-dominated networked microgrids
KW - model reduction
UR - http://www.scopus.com/inward/record.url?scp=85119515102&partnerID=8YFLogxK
U2 - 10.1109/IECON48115.2021.9589820
DO - 10.1109/IECON48115.2021.9589820
M3 - 会议稿件
AN - SCOPUS:85119515102
T3 - IECON Proceedings (Industrial Electronics Conference)
BT - IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society
PB - IEEE Computer Society
T2 - 47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021
Y2 - 13 October 2021 through 16 October 2021
ER -