Doctor of Philosophy (Ph.D.)
Degree Granting Department
Industrial and Management Systems Engineering
Bo Zeng, Ph.D.
Tapas Das, Ph.D.
Alex Savachkin, Ph.D.
Yao Liu, Ph.D.
Balaji Padmanabhan, Ph.D.
Tongxin Zheng, Ph.D.
Defender-attacker-defender Model, Distribution Network Planning, Mixed Integer Programming, Network Topology Control, Robust Optimization
In this dissertation, we introduce and study robust optimization models and decomposition algorithms in order to deal with the uncertainties such as terrorist attacks, natural
disasters, and uncertain demand that are becoming more and more signicant in power systems operation and planning. An optimal power grid hardening problem is presented as a
defender-attacker-defender (DAD) sequential game and solved by an exact decomposition
algorithm. Network topology control, which is an eective corrective measure in power systems, is then incorporated into the defender-attacker-defender model as a recourse operation
for the power system operator after a terrorist attack. Computational results validate the
cost-eectiveness of the novel model. In addition, a resilient distribution network planning
problem (RDNP) is proposed in order to coordinate the hardening and distributed generation resource placement with the objective of minimizing the distribution system damage
under uncertain natural disaster events. A multi-stage and multi-zone based uncertainty set
is designed to capture the spatial and temporal dynamics of a natural disaster as an extension
to the N-K worst-case network interdiction approach. Finally, a power market day-ahead
solution algorithm for the RUC model. generation scheduling problem, i.e., robust unit commitment (RUC) problem, that takes account of uncertain demand is analyzed. Improvements have been made in achieving a fast
Scholar Commons Citation
Yuan, Wei, "Reliable Power System Planning and Operations through Robust Optimization" (2015). Graduate Theses and Dissertations.