TY - JOUR
T1 - Power Distribution System Outage Management with Co-Optimization of Repairs, Reconfiguration, and DG Dispatch
AU - Arif, Anmar
AU - Wang, Zhaoyu
AU - Wang, Jianhui
AU - Chen, Chen
N1 - Publisher Copyright:
© 2010-2012 IEEE.
PY - 2018/9
Y1 - 2018/9
N2 - This paper proposes a two-stage method for the outage management of power distribution systems. The first stage is to cluster repair tasks of damaged power generation and delivery components based on their distances from the depots (central crew stations) and the availability of resources, to improve the computational efficiency in solving outage management problems for large distribution systems. The second stage is to co-optimize the repair, reconfiguration, and distributed generation dispatch to maximize the picked-up loads and minimize the repair time. The distribution system repair and restoration problem is formulated as a mixed integer linear program, considering constraints of system operation and routing repair crews. Crews are dispatched considering equipment resources, traveling time, and repair time. The proposed method is tested on modified IEEE 34 and 123-bus distribution test systems with multiple damages. The results demonstrate the advantages of co-optimizing repair and restoration.
AB - This paper proposes a two-stage method for the outage management of power distribution systems. The first stage is to cluster repair tasks of damaged power generation and delivery components based on their distances from the depots (central crew stations) and the availability of resources, to improve the computational efficiency in solving outage management problems for large distribution systems. The second stage is to co-optimize the repair, reconfiguration, and distributed generation dispatch to maximize the picked-up loads and minimize the repair time. The distribution system repair and restoration problem is formulated as a mixed integer linear program, considering constraints of system operation and routing repair crews. Crews are dispatched considering equipment resources, traveling time, and repair time. The proposed method is tested on modified IEEE 34 and 123-bus distribution test systems with multiple damages. The results demonstrate the advantages of co-optimizing repair and restoration.
KW - Distributed generation
KW - mixed-integer linear program (MILP)
KW - power distribution system
KW - repair crews
KW - service restoration
UR - https://www.scopus.com/pages/publications/85052689572
U2 - 10.1109/TSG.2017.2650917
DO - 10.1109/TSG.2017.2650917
M3 - 文章
AN - SCOPUS:85052689572
SN - 1949-3053
VL - 9
SP - 4109
EP - 4118
JO - IEEE Transactions on Smart Grid
JF - IEEE Transactions on Smart Grid
IS - 5
M1 - 7812566
ER -