TY - GEN
T1 - A Robust MPC Method for Post-Disaster Distribution System Reconfiguration based on Repair Crew Routing
AU - Arjomandi-Nezhad, Ali
AU - Fotuhi-Firuzabad, Mahmoud
AU - Mazaheri, Hesam
AU - Lehtonen, Matti
AU - Moeini-Aghtaie, Moein
AU - Peyghami, Saeed
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022/7/4
Y1 - 2022/7/4
N2 - Distribution system reconfiguration is an effective solution to reduce the consequences of a disaster through transferring loads to another feeder via automatic switches. Meanwhile, an optimal sequence of damage components repairments provides the operator with the opportunity to utilize components that play a critical role in restoring loads sooner. Motivated by the rise in penetration of renewable distributed generators in modern distribution systems, this paper aims to develop a robust reconfiguration and crew routing co-optimization method to cope with renewable and demand uncertainties while recovering from a disaster. The method optimizes the grid recovery process for the worst load/generation scenario and repeats the optimization every time step considering the activities before the current time step. Finally, a case study on the IEEE 33-bus distribution test network is investigated to analyze the efficiency of the method.
AB - Distribution system reconfiguration is an effective solution to reduce the consequences of a disaster through transferring loads to another feeder via automatic switches. Meanwhile, an optimal sequence of damage components repairments provides the operator with the opportunity to utilize components that play a critical role in restoring loads sooner. Motivated by the rise in penetration of renewable distributed generators in modern distribution systems, this paper aims to develop a robust reconfiguration and crew routing co-optimization method to cope with renewable and demand uncertainties while recovering from a disaster. The method optimizes the grid recovery process for the worst load/generation scenario and repeats the optimization every time step considering the activities before the current time step. Finally, a case study on the IEEE 33-bus distribution test network is investigated to analyze the efficiency of the method.
KW - model predictive control
KW - outage management
KW - Reconfiguration
UR - http://www.scopus.com/inward/record.url?scp=85135009899&partnerID=8YFLogxK
U2 - 10.1109/PMAPS53380.2022.9810592
DO - 10.1109/PMAPS53380.2022.9810592
M3 - Conference article in proceedings
AN - SCOPUS:85135009899
T3 - International Conference on Probabilistic Methods Applied to Power Systems,
BT - 2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022
PB - IEEE
T2 - International Conference on Probabilistic Methods Applied to Power Systems
Y2 - 12 June 2022 through 15 June 2022
ER -
