TY - GEN
T1 - Transmission System Restoration
T2 - 2014 Power Systems Computation Conference, PSCC 2014
AU - Coffrin, Carleton
AU - Van Hentenryck, Pascal
N1 - Publisher Copyright:
© 2014 Power Systems Computation Conference.
PY - 2014/2/10
Y1 - 2014/2/10
N2 - This paper studies the restoration of a transmission system after a significant disruption (e.g., a natural disaster). It considers the co-optimization of repairs, load pickups, and generation dispatch to produce a sequencing of the repairs that minimizes the size of the blackout over time. The core of this process is a Restoration Ordering Problem (ROP), a non-convex mixed-integer nonlinear program that is outside the capabilities of existing solver technologies. To address this computational barrier, the paper examines two approximations of the power flow equations: The DC model and the recently proposed LPAC model. Systematic, large-scale testing indicates that the DC model is not sufficiently accurate for solving the ROP. In contrast, the LPAC power flow model, which captures reactive power and voltage magnitudes, is sufficiently accurate to obtain restoration plans that can be converted into AC-feasible power flows. Experiments also suggest that the LPAC model provides a robust and appealing tradeoff of accuracy and computational performance for solving the ROP.
AB - This paper studies the restoration of a transmission system after a significant disruption (e.g., a natural disaster). It considers the co-optimization of repairs, load pickups, and generation dispatch to produce a sequencing of the repairs that minimizes the size of the blackout over time. The core of this process is a Restoration Ordering Problem (ROP), a non-convex mixed-integer nonlinear program that is outside the capabilities of existing solver technologies. To address this computational barrier, the paper examines two approximations of the power flow equations: The DC model and the recently proposed LPAC model. Systematic, large-scale testing indicates that the DC model is not sufficiently accurate for solving the ROP. In contrast, the LPAC power flow model, which captures reactive power and voltage magnitudes, is sufficiently accurate to obtain restoration plans that can be converted into AC-feasible power flows. Experiments also suggest that the LPAC model provides a robust and appealing tradeoff of accuracy and computational performance for solving the ROP.
KW - AC Power Flow
KW - LPAC Power Flow
KW - Load Pickup
KW - Optimization
KW - Power System Restoration
UR - http://www.scopus.com/inward/record.url?scp=84946691059&partnerID=8YFLogxK
U2 - 10.1109/PSCC.2014.7038387
DO - 10.1109/PSCC.2014.7038387
M3 - Conference contribution
T3 - Proceedings - 2014 Power Systems Computation Conference, PSCC 2014
BT - Proceedings - 2014 Power Systems Computation Conference, PSCC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 18 August 2014 through 22 August 2014
ER -