Electric power systems and the companies and customers that interact with them are
experiencing increasing levels of uncertainty due to factors such as renewable energy …

In recent years the power systems research community has seen an explosion of work
applying operations research techniques to challenging power network optimization …

We propose a branch flow model for the analysis and optimization of mesh as well as radial
networks. The model leads to a new approach to solving optimal power flow (OPF) that …

This tutorial summarizes recent advances in the convex relaxation of the optimal power flow
(OPF) problem, focusing on structural properties rather than algorithms. Part I presents two …

Python for Power System Analysis (PyPSA) is a free software toolbox for simulating and
optimising modern electrical power systems over multiple periods. PyPSA includes models …

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 …

Linear MW-only ldquodcrdquo network power flow models are in widespread and even
increasing use, particularly in congestion-constrained market applications. Many versions of …

Convex relaxations of the power flow equations and, in particular, the semi-definite
programming (SDP) and second-order cone (SOC) relaxations, have attracted significant …

With the expansion of power grids and the growth of renewable energy generation, more
uncertainties of topology (eg, components outages) and injection (eg, renewable energy …

Energy storage can alleviate the problems that the uncertainty and variability associated
with renewable energy sources such as wind and solar create in power systems. Besides …