TY - JOUR
T1 - Multiperiod Distribution System Restoration with Routing Repair Crews, Mobile Electric Vehicles, and Soft-Open-Point Networked Microgrids
AU - Ding, Tao
AU - Wang, Zekai
AU - Jia, Wenhao
AU - Chen, Bo
AU - Chen, Chen
AU - Shahidehpour, Mohammad
N1 - Publisher Copyright:
© 2010-2012 IEEE.
PY - 2020/11
Y1 - 2020/11
N2 - This paper proposes a distribution system restoration model which is in response to multiple outages caused by natural disasters. The proposed restoration model includes the coordination of routing repair crews (RRCs), mobile battery-carried vehicles (MBCVs), and networked microgrids (NMGs) formed by soft open points (SOPs). The travel and repair time constraints are modeled for each RRC; travel path and charging strategy are modeled for each MBCV; and the network reconfiguration is developed considering the optimal operation of SOP-based NMGs. The proposed model is presented as a mixed-integer linear program which is solved by an auxiliary induce function based algorithm to reduce the computational complexity. The modified IEEE 33-bus and 69-bus distribution systems are tested with multiple outages. The presented results demonstrate the effectiveness of the proposed model.
AB - This paper proposes a distribution system restoration model which is in response to multiple outages caused by natural disasters. The proposed restoration model includes the coordination of routing repair crews (RRCs), mobile battery-carried vehicles (MBCVs), and networked microgrids (NMGs) formed by soft open points (SOPs). The travel and repair time constraints are modeled for each RRC; travel path and charging strategy are modeled for each MBCV; and the network reconfiguration is developed considering the optimal operation of SOP-based NMGs. The proposed model is presented as a mixed-integer linear program which is solved by an auxiliary induce function based algorithm to reduce the computational complexity. The modified IEEE 33-bus and 69-bus distribution systems are tested with multiple outages. The presented results demonstrate the effectiveness of the proposed model.
KW - Power system resilience
KW - distribution system restoration
KW - mobile battery-carried vehicle
KW - networked microgrids
KW - routing repair crew
KW - soft open point
UR - https://www.scopus.com/pages/publications/85090803616
U2 - 10.1109/TSG.2020.3001952
DO - 10.1109/TSG.2020.3001952
M3 - 文章
AN - SCOPUS:85090803616
SN - 1949-3053
VL - 11
SP - 4795
EP - 4808
JO - IEEE Transactions on Smart Grid
JF - IEEE Transactions on Smart Grid
IS - 6
M1 - 9115714
ER -