This paper proposes a model for hierarchical combination of deep reinforcement learning
(DRL) with quadratic programming for distribution system restoration after major outages. In …

Small pumped-storage hydropower (PSH) units have gained popularity as distributed
energy storage options that can provide flexibility to the operation of power distribution …

The occurrence of large-scale outages in power distribution systems (PDSs) caused, for
instance, by extreme weather events has raised concerns on the cascading impact of the …

We consider a power system whose electric demand pertaining to freshwater production is
high (high freshwater electric demand), as in the Middle East, and investigate the tradeoff of …

As freshwater demand continues to rise and conventional freshwater resources decline, the
interaction between the freshwater and power sectors is becoming increasingly relevant …

Compared to the single-vector-based model predictive current control (MPCC), Multi-vector-
based MPCC has better performance of grid connected current in the energy converter …

This dissertation focuses on the coordinated operation and expansion planning of power
and freshwater systems in regions experiencing freshwater shortages. Our work is motivated …

In power systems, electrical networks constantly face unexpected events such as faults on
lines or busses, sudden changes in load demand and loss of generation. When these …

Climate change increasingly exposes power distribution systems to more frequent and
intense extreme weather events, undermining their ability to provide a reliable electricity …

The threat of high impact low probability events on power distribution system is substantial
but quite unpredictable. Resilient operation of power distribution systems against such …