Designing an efficient distributed economic dispatch (DED) strategy for the smart grid (SG)
in the presence of multiple generators plays a paramount role in obtaining various benefits …

Abstract Distributed Generations (DGs) with Electric Vehicles (EVs) now play a key role in
the planning of power distribution systems. The integration of DGs with EVs planning in the …

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 …

This paper presents multi-agents based optimal energy scheduling technique at microgrid
level, aiming to minimize overall costs allied with the domestic energy consumption and …

In this paper, we consider a distributed economic dispatch problem (EDP) in smart grids,
where each generator only communicates with its neighbors and minimizes its own cost in …

Decentralized dual methods play significant roles in large-scale optimization, which
effectively resolve many constrained optimization problems in machine learning and power …

The economic dispatch problem (EDP) is a basic problem of energy management in the
actual smart grids operation. This paper studies a general EDP of minimizing a sum of local …

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 …

Supply chain management (SCM) is considered at the forefront of many organizations in the
delivery of their products. Various optimization methods are applied in the SCM to improve …

该文归纳了复杂网络视角下研究能源–信息–交通–社会耦合网的背景意义, 国内外研究现状,
面临的研究挑战及亟需解决的关键科学问题. 基于自组织理论对亟需解决的关键科学问题进行 …