TY - GEN
T1 - Resilience Analysis of Islanded Microgrids with Droop Control through Reachable Set Computation
AU - Li, Yan
AU - Chaudhuri, Nilanjan Ray
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The dynamic resilience of islanded microgrids is primarily determined by the droop coefficients of inverter controllers for distributed energy resources (DERs). To efficiently quantify the impact of droop coefficients, a reachability analysis approach is presented in this paper, through which the time/frequency domain analysis becomes unnecessary. Zonotope technique is used to model the changes of droop coefficients and then integrated into the computation of reachable sets. Numerical examples on an islanded microgrid system have verified that the reachable set can bound all dynamic trajectories of the system under disturbances and exhibited the droop coefficients can highly influence the islanded system in presence of typical constant-impedance, constant-current, and constant-power (ZIP) power loads. The simulation results also offer an insight into enhancing the system's dynamic resilience through optimizing the droop coefficients.
AB - The dynamic resilience of islanded microgrids is primarily determined by the droop coefficients of inverter controllers for distributed energy resources (DERs). To efficiently quantify the impact of droop coefficients, a reachability analysis approach is presented in this paper, through which the time/frequency domain analysis becomes unnecessary. Zonotope technique is used to model the changes of droop coefficients and then integrated into the computation of reachable sets. Numerical examples on an islanded microgrid system have verified that the reachable set can bound all dynamic trajectories of the system under disturbances and exhibited the droop coefficients can highly influence the islanded system in presence of typical constant-impedance, constant-current, and constant-power (ZIP) power loads. The simulation results also offer an insight into enhancing the system's dynamic resilience through optimizing the droop coefficients.
UR - http://www.scopus.com/inward/record.url?scp=85141457409&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85141457409&partnerID=8YFLogxK
U2 - 10.1109/PESGM48719.2022.9916861
DO - 10.1109/PESGM48719.2022.9916861
M3 - Conference contribution
AN - SCOPUS:85141457409
T3 - IEEE Power and Energy Society General Meeting
BT - 2022 IEEE Power and Energy Society General Meeting, PESGM 2022
PB - IEEE Computer Society
T2 - 2022 IEEE Power and Energy Society General Meeting, PESGM 2022
Y2 - 17 July 2022 through 21 July 2022
ER -
