This paper proposes a distributed dual gradient tracking algorithm (DDGT) to solve resource
allocation problems over an unbalanced network, where each node in the network holds a …

The purpose of this study is to provide a consensus-based solution for addressing the
economic dispatch problem en-countered by power dispatching firms in microgrids. The …

With the rapid development of the scale of distributed energy resources, the implementation
of distributed algorithms imposes ever-increasing requirements on communication …

The penetration of distributed generators increases the significance of virtual power plants
(VPP) in the electricity market paradigm. The conventional VPP energy management system …

The increasingly complex modern energy network arouses the need of flexible and
dependable approaches to solve the economic dispatch problem (EDP) in the smart grids …

Distributed optimization algorithms, such as alternating direction method of multipliers
(ADMM) and distributed gradient descent method (DGDM), can no longer meet the needs of …

This article considers the consensus problem of uncertain multiagent systems, which is
addressed by neuroadaptive impulsive control schemes. The proposed control schemes …

The economic dispatch problem (EDP) in power systems is usually formulated as a category
of convex optimization problems in which the collective cost function is expressed as the …

A new distributed discrete-time event-triggered optimization algorithm is proposed based on
the Newton–Raphson iterative method and the consensus algorithm in this paper. With the …

In this paper, we address the distributed convex optimization problems for multi-agent
systems. In our research, it is assumed that each agent in the multi-agent system could …