The fields of power system engineering and operations research are growing rapidly and
becoming increasingly entwined. This survey aims to strengthen the connections between …

The power flow equations relate the power injections and voltages in an electric power
system and are therefore key to many power system optimization and control problems …

The increasing penetration of electric vehicles (EVs) and emerging dynamic wireless
charging techniques have strengthened the coupling between traffic networks and power …

A large amount of data has been generated by grid operators solving AC optimal power flow
(ACOPF) throughout the years, and we explore how leveraging this data can be used to help …

In this work, we develop an adaptive, multivariate partitioning algorithm for solving
nonconvex, Mixed-Integer Nonlinear Programs (MINLPs) with polynomial functions to global …

We propose a novel global solution algorithm for the network-constrained unit commitment
problem that incorporates a nonlinear alternating current (ac) model of the transmission …

We propose machine learning-based (ML) methods to accelerate convergence to global
solutions for the AC Optimal Power Flow (AC-OPF) problem. In particular, for the non-convex …

To design a reliable and secure power system, it is necessary to have enough transmission
capacity. The solution of transmission expansion planning (TEP) problem determines cost …

We demonstrate that a strong upper bound on the objective of the alternating current optimal
power flow (ACOPF) problem can significantly improve the effectiveness of optimization …

We study an abstract myopic electricity market subject to general nonconvex power flow
models and convex generator models (without discrete commitment variables) in a setting …