Historically, centrally computed algorithms have been the primary means of power system
optimization and control. With increasing penetrations of distributed energy resources …

In recent years extensive research has been conducted on the development of different
models that enable energy trading between prosumers and consumers due to expected …

In this paper, an integrated blockchain-based energy management platform is proposed that
optimizes energy flows in a microgrid whilst implementing a bilateral trading mechanism …

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 …

Energy management in microgrids is typically formulated as a nonlinear optimization
problem. Solving it in a centralized manner does not only require high computational …

This paper presents a holistic modeling framework for the interdependent transportation
network and power distribution network. From a system-level perspective, on-road fast …

Distribution networks are usually multiphase and radial. To facilitate power flow computation
and optimization, two semidefinite programming (SDP) relaxations of the optimal power flow …

Energy management in microgrids is typically formulated as an offline optimization problem
for day-ahead scheduling by previous studies. Most of these offline approaches assume …

This paper presents a fully distributed reactive power optimization algorithm that can obtain
the global optimum solution of nonconvex problems for distribution networks (DNs) without …