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 …

Advances in wired and wireless technology have necessitated the development of theory,
models, and tools to cope with the new challenges posed by large-scale control and …

With the sustained deployment of distributed generation capacities and the more proactive
role of consumers, power systems and their operation are drifting away from a conventional …

Economic dispatch problem (EDP) is an important class of optimization problems in the
smart grid, which aims at minimizing the total cost when generating certain amount of power …

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

A distributed algorithm is presented to solve the economic power dispatch with transmission
line losses and generator constraints. The proposed approach is based on two consensus …

In this paper, a distributed constrained optimization problem is discussed to achieve the
optimal point of the sum of agents' local objective functions while satisfying local constraints …

In this paper, we introduce the incremental welfare consensus algorithm for solving the
energy management problem in a smart grid environment populated with distributed …

In power system operation, the economic dispatch problem (EDP) aims to minimize the total
generation cost while meeting the demand and satisfying generator capacity limits. This …

Distributed energy resources and demand-side management are expected to become more
prevalent in the future electric power system. Coordinating the increased number of grid …