In distributed optimization of multi-agent systems, agents cooperate to minimize a global
function which is a sum of local objective functions. Motivated by applications including …

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

This paper reviews distributed/decentralized algorithms to solve the optimal power flow
(OPF) problem in electric power systems. Six decomposition coordination algorithms are …

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 …

An increasing amount of distributed energy resources is being integrated into both
distribution systems (DSs) and networked microgrids (MGs). The coordination among DSs …

The optimal power flow (OPF) problem determines a network operating point that minimizes
a certain objective such as generation cost or power loss. Traditionally, OPF is solved in a …

Traditionally, the optimal power flow (OPF) problem is solved in a centralized manner.
However, with continuous expansion of the scale of multi-area interconnected power …

Independent system operators (ISO) and regional transmission organizations (RTO) adopt
centralized optimization approaches for the optimal operation of power systems, which …

This article presents a distributed alternating direction method of multipliers (ADMMs)
approach for solving the direct current dynamic optimal power flow with carbon emission …

The optimal power-flow (OPF) problem, which plays a central role in operating electrical
networks, is considered. The problem is nonconvex and is, in fact, NP hard. Therefore …