TY - JOUR
T1 - Enhancing the resilience of operational microgrids through a two-stage scheduling strategy considering the impact of uncertainties
AU - Younesi, Abdollah
AU - Shayeghi, Hossein
AU - Siano, Pierluigi
AU - Safari, Amin
AU - Alhelou, Hassan Haes
N1 - Funding Information:
This work was supported by Energy Management Research Center, Faculty of Engineering University of Mohaghegh Ardabili, Ardabil, Iran.
Publisher Copyright:
© 2013 IEEE.
PY - 2021/1/21
Y1 - 2021/1/21
N2 - This article deals with the stochastic scheduling of a microgrid (MG) to balance the economical and resilience metrics. In the proposed model, the MG resilience indices are integrated into the economic criteria to ensure the resilience of MG operation alongside the main MG actors' profit/loss. The MG fragility index, recovery efficiency index, MG voltage index, and lost load index are considered in the proposed planning model. Further, to make the results more realistic, the uncertainties associated with energy price and wind production, alongside with planning of energy storage systems and electric vehicles parking lots are considered. To achieve a better solution for the security-constraint operation of MG, AC network equations are included in the system modeling. Finally, a large-scale MG based on the IEEE-33 bus testbed is utilized to evaluate the effectiveness of the proposed stochastic scheduling program.
AB - This article deals with the stochastic scheduling of a microgrid (MG) to balance the economical and resilience metrics. In the proposed model, the MG resilience indices are integrated into the economic criteria to ensure the resilience of MG operation alongside the main MG actors' profit/loss. The MG fragility index, recovery efficiency index, MG voltage index, and lost load index are considered in the proposed planning model. Further, to make the results more realistic, the uncertainties associated with energy price and wind production, alongside with planning of energy storage systems and electric vehicles parking lots are considered. To achieve a better solution for the security-constraint operation of MG, AC network equations are included in the system modeling. Finally, a large-scale MG based on the IEEE-33 bus testbed is utilized to evaluate the effectiveness of the proposed stochastic scheduling program.
KW - HIR natural event
KW - microgrid resilience
KW - smart grid
KW - stochastic programming
UR - http://www.scopus.com/inward/record.url?scp=85106839976&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2021.3053390
DO - 10.1109/ACCESS.2021.3053390
M3 - Article
AN - SCOPUS:85106839976
SN - 2169-3536
VL - 9
SP - 18454
EP - 18464
JO - IEEE Access
JF - IEEE Access
ER -