  Operators can now remotely control switches and update the control settings
for voltage regulators and distributed energy resources (DERs), thus unleashing
the network reconfiguration opportunities to improve efficiency. Aligned to
this direction, this work puts forth a comprehensive toolbox of optimization
models leveraging the control capabilities of smart grid assets. We put forth
detailed yet practical models to capture the operation of locally and remotely
controlled regulators, and customize the watt-var DER control curves complying
with the IEEE 1547.8 mandates. Maintaining radiality is a key requirement
germane to various feeder optimization tasks. This requirement is accomplished
here through an intuitive and provably correct formulation. The developed
toolbox is put into action to reconfigure a grid for minimizing losses using
real-world data on a benchmark feeder. The results corroborate that optimal
topologies vary across the day and coordinating DERs and regulators is critical
during periods of steep net load changes.
